{"meta":{"query_hash":"114cda2ba062","filters":{"venue":"Solid State Technology"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/114cda2ba062","api":"https://metacan.xera.ac/api/v1/cohort?venue=Solid+State+Technology"},"results":[{"id":"W3096637274","doi":"","title":"Covid-19: Impact On The Economy Of A Nation","year":2020,"lang":"en","type":"article","venue":"Solid State Technology","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic sector; Business; Economic impact analysis; Fishing; Pandemic; Quarter (Canadian coin); Tourism; Coronavirus disease 2019 (COVID-19); Economics; Economy; Economic growth; Geography; Political science","score_opus":0.0661510865379628,"score_gpt":0.3039115543074158,"score_spread":0.23776046776945298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096637274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63827467,0.00049134163,0.013603896,0.32583517,0.00017665728,0.00079865183,0.00050445175,0.00041572467,0.019899432],"genre_scores_gemma":[0.98242503,0.000054045067,0.000056503282,0.017343096,0.0000280532,0.0000246062,0.0000062081936,0.000019019986,0.000043409458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887055,0.000015475263,0.00048001204,0.00031609656,0.000024489083,0.00029336588],"domain_scores_gemma":[0.9988262,0.0002051034,0.00040363846,0.00037912003,0.000026319703,0.0001596234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037669667,0.0001468838,0.0003701243,0.0003791542,0.000071228475,0.000017903678,0.00041204243,0.00014183813,0.0005407538],"category_scores_gemma":[0.00263126,0.0001239861,0.00010309694,0.0005860104,0.00017249491,0.000084975785,0.00009592661,0.00026071476,0.00042678835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015097857,0.00009329614,0.029690277,0.00009211666,0.00022349467,0.000013256761,0.0027703103,0.003805156,0.00040951988,0.9396064,0.02147282,0.0016723464],"study_design_scores_gemma":[0.0008693995,0.0005693864,0.0012826284,0.000006873981,0.0000057281895,0.00000638482,0.00021021055,0.0085211955,0.0019980886,0.85520625,0.13105872,0.00026515115],"about_ca_topic_score_codex":0.00014875746,"about_ca_topic_score_gemma":0.000011499234,"teacher_disagreement_score":0.3441504,"about_ca_system_score_codex":0.00032315042,"about_ca_system_score_gemma":0.00020369212,"threshold_uncertainty_score":0.5920875},"labels":[],"label_agreement":null},{"id":"W3106785892","doi":"","title":"Impacts of Covid-19 Pandemic on Indian and World Hospitality Industry: An Overview","year":2020,"lang":"en","type":"article","venue":"Solid State Technology","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Pandemic; Goods and services; Business; Hospitality; Tourism; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Economy; Economic growth; Commerce; Economics; Geography","score_opus":0.11778066883076439,"score_gpt":0.3442384251362165,"score_spread":0.22645775630545212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106785892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839559,0.0017250952,0.00013903124,0.012621671,0.000084266554,0.00032725933,0.00047178718,0.00026770026,0.00040726486],"genre_scores_gemma":[0.9910909,0.001013752,0.00008724064,0.0076836515,0.000031223426,0.000013778145,0.000014815024,0.000031631866,0.000033031043],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816555,0.00003201458,0.00066568755,0.0005919376,0.000051129795,0.00049369497],"domain_scores_gemma":[0.9983693,0.000094945055,0.00050216616,0.00052111474,0.000023009597,0.00048945844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005268473,0.00023754578,0.00068996864,0.00070930494,0.00007378279,0.000027871289,0.0003909922,0.0004512529,0.00016003267],"category_scores_gemma":[0.0015149106,0.00027152884,0.000058060446,0.0010997583,0.00030253406,0.00019132774,0.00018924937,0.0007789819,0.00006551623],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005543369,0.00006860438,0.957493,0.00018640382,0.000058617996,0.000025598381,0.0017819328,0.00006320346,0.00011736392,0.03658867,0.0005187443,0.003042419],"study_design_scores_gemma":[0.0046671,0.0028083317,0.2975563,0.00011777704,0.000032738844,0.000053341784,0.0014231976,0.00085351965,0.001214853,0.6139262,0.07588025,0.0014664019],"about_ca_topic_score_codex":0.0008097357,"about_ca_topic_score_gemma":0.00066344644,"teacher_disagreement_score":0.6599367,"about_ca_system_score_codex":0.00026717564,"about_ca_system_score_gemma":0.0001752153,"threshold_uncertainty_score":0.9999737},"labels":[],"label_agreement":null},{"id":"W3107883023","doi":"","title":"The Hierarchy Level of Strategy: A Bankruptcy Prediction of the Company using the Altman Z-Score Method in the Coronavirus Disease Period (An Empirical Study on Manufacturing Companies of Various Industry Sub-Sectors Listed in Indonesia Stock Exchange in","year":2020,"lang":"en","type":"article","venue":"Solid State Technology","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Bankruptcy; Nonprobability sampling; Stock exchange; Business; Actuarial science; Econometrics; Economics; Accounting; Finance; Medicine; Population; Geography","score_opus":0.20199649318790047,"score_gpt":0.3502947009118464,"score_spread":0.14829820772394592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107883023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965819,0.000076622695,0.00019873874,0.0014894172,0.00008305705,0.0014695057,0.00004651388,0.00002957328,0.000024634532],"genre_scores_gemma":[0.9996351,0.000014848496,0.000009324866,0.0002000476,0.000043582328,0.00006978733,0.000005533287,0.000019787807,0.000002016895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812716,0.0001879647,0.0006765643,0.00031692517,0.0003757918,0.00031558092],"domain_scores_gemma":[0.99869275,0.000085329535,0.000637026,0.00051018764,0.000063519394,0.000011176879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069295673,0.00022566349,0.00041030333,0.0003089369,0.0001591111,0.000049825438,0.00088086975,0.00012676507,0.0000030251106],"category_scores_gemma":[0.000073426054,0.00012906067,0.00006147896,0.001523156,0.00030160212,0.00020669926,0.00044042215,0.0008231993,4.3730583e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005872697,0.00065243227,0.97019565,0.00016405348,0.000037056707,0.00004749962,0.0047278428,0.0076329457,0.00047213235,0.0010327054,0.000018419303,0.014432014],"study_design_scores_gemma":[0.00097277266,0.00016292985,0.9801978,0.000092045826,0.000040346258,8.8466976e-7,0.008315392,0.008503242,0.00026192144,0.0012667329,0.00007563512,0.000110287445],"about_ca_topic_score_codex":0.0024304613,"about_ca_topic_score_gemma":0.009735306,"teacher_disagreement_score":0.014321726,"about_ca_system_score_codex":0.00007720781,"about_ca_system_score_gemma":0.000076148055,"threshold_uncertainty_score":0.5432529},"labels":[],"label_agreement":null},{"id":"W3136339167","doi":"","title":"Sentiment Analysis on Shedecides Post From Twitter","year":2021,"lang":"en","type":"article","venue":"Solid State Technology","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Social media; Microblogging; Quarter (Canadian coin); Computer science; Process (computing); Unit (ring theory); World Wide Web; Internet privacy; Data science; Advertising; Psychology; Artificial intelligence; Business; Geography; Mathematics education","score_opus":0.008206092621474405,"score_gpt":0.25071164858611716,"score_spread":0.24250555596464277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136339167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8440826,0.00009533105,0.14789933,0.0060531567,0.00036628658,0.00006925679,0.000013163162,0.0006339494,0.0007869197],"genre_scores_gemma":[0.98512673,0.000029037808,0.012967213,0.0008720319,0.00002832354,0.000013962593,0.00001891764,0.000009425552,0.000934382],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986031,0.000048884103,0.00022150693,0.0005802136,0.00020608568,0.00034023117],"domain_scores_gemma":[0.9987665,0.000039851468,0.00007306317,0.00092567026,0.00013528853,0.000059646303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091414004,0.00014625443,0.00025378563,0.0005386775,0.00011256069,0.00011435328,0.00047847538,0.00012558862,0.00014956795],"category_scores_gemma":[0.000041735333,0.00013918304,0.00012477413,0.0018317205,0.00005215064,0.00010289018,0.00027224355,0.00021099996,0.0005122601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010204932,0.0009918058,0.018247625,0.000018487186,0.0051589273,0.0040075886,0.002596203,0.0031697834,0.40967387,0.02633544,0.0054838643,0.5242143],"study_design_scores_gemma":[0.0004560286,0.00024778655,0.005272638,0.000015988704,0.000121043966,0.000030855703,0.00021124093,0.0060276403,0.93452823,0.043530315,0.009175117,0.00038312766],"about_ca_topic_score_codex":0.00007785569,"about_ca_topic_score_gemma":0.0001318311,"teacher_disagreement_score":0.52485436,"about_ca_system_score_codex":0.00005564701,"about_ca_system_score_gemma":0.000049430328,"threshold_uncertainty_score":0.6584239},"labels":[],"label_agreement":null},{"id":"W3139403374","doi":"","title":"Formation of air transport in Khorezm oasis and its role in the economic and social life of the region","year":2020,"lang":"en","type":"article","venue":"Solid State Technology","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air transport; Quarter (Canadian coin); Position (finance); Aviation; Geography; Political science; Economy; Economic growth; Regional science; Economic history; Environmental planning; Business; History; Engineering; Aeronautics; Archaeology; Economics","score_opus":0.02151655591651855,"score_gpt":0.26068139101438037,"score_spread":0.23916483509786182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139403374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9501929,0.0000829894,0.000006375881,0.048733898,0.000018485704,0.00015969973,0.0000060451175,0.000013412776,0.00078618975],"genre_scores_gemma":[0.9994291,0.00032401143,0.00001284433,0.00019344369,0.000009812224,0.000012885465,0.00000141675,0.0000033643423,0.0000131295055],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99939144,0.000060935905,0.0002517395,0.00010673795,0.000059763504,0.00012938029],"domain_scores_gemma":[0.9997537,0.00003585249,0.00013636345,0.000048362384,0.000011444767,0.000014257417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023320878,0.00005532438,0.00016018629,0.0000860562,0.000080804944,0.0000030983479,0.00020660166,0.00010579536,0.0000029922116],"category_scores_gemma":[0.000026932295,0.000042824537,0.000022398985,0.00018501648,0.00036131786,0.00011170177,0.000032642656,0.00010980929,8.69341e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001160852,0.000059223057,0.2867751,0.000108700915,0.000047568898,0.000005128429,0.48415995,0.0002240832,0.00053450844,0.1995936,0.0005847184,0.027791312],"study_design_scores_gemma":[0.0024072558,0.00015840963,0.6764275,0.000056032288,0.000031335505,0.000006586124,0.19114876,0.0015022287,0.002984127,0.10650994,0.018350907,0.00041695772],"about_ca_topic_score_codex":0.0002614043,"about_ca_topic_score_gemma":0.002954269,"teacher_disagreement_score":0.38965234,"about_ca_system_score_codex":0.000064312364,"about_ca_system_score_gemma":0.00011934581,"threshold_uncertainty_score":0.1746334},"labels":[],"label_agreement":null},{"id":"W3160594440","doi":"","title":"PRUDENTIA; AN ANALYSIS OF SELECT NOVELS OF RICHARD WAGAMESE","year":2020,"lang":"en","type":"article","venue":"Solid State Technology","topic":"American Literature and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ideology; Futures studies; BLISS; Personality; Aesthetics; TRACE (psycholinguistics); Sociology; Opposition (politics); Literature; History; Law; Art; Psychology; Psychoanalysis; Computer science; Philosophy; Political science; Artificial intelligence; Politics; Linguistics","score_opus":0.0143281345600524,"score_gpt":0.24994336929909255,"score_spread":0.23561523473904017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160594440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98933595,0.00045258147,0.00047623093,0.001414597,0.00006129009,0.00013921005,0.0003407573,0.00021511954,0.007564251],"genre_scores_gemma":[0.9985978,0.000023079867,0.0001496898,0.00041306403,0.000043700693,0.0000058183077,0.00004859693,0.000011271576,0.0007069957],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991861,0.000021796848,0.0002859518,0.00020723073,0.00011916868,0.00017973816],"domain_scores_gemma":[0.99933064,0.000009019976,0.00020414242,0.00021965455,0.00019979951,0.000036736525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040625902,0.000118145035,0.00046714023,0.00030399323,0.000045289413,0.000017979097,0.00026544888,0.00007071619,0.00074123393],"category_scores_gemma":[0.000016619044,0.00009465032,0.00011873612,0.0006539781,0.00041641647,0.0001012799,0.00004955413,0.00016266474,0.000009512132],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029625586,0.0007695759,0.0102792075,0.00026733076,0.0076841125,0.000058649402,0.4932352,0.00040270993,0.08422638,0.3684096,0.012353003,0.022017961],"study_design_scores_gemma":[0.0017137069,0.0054870876,0.0017618069,0.00007146433,0.0045376844,0.000009205962,0.08497323,0.004770472,0.11464917,0.009197056,0.77139306,0.0014360225],"about_ca_topic_score_codex":0.000043055046,"about_ca_topic_score_gemma":0.00020909529,"teacher_disagreement_score":0.75904006,"about_ca_system_score_codex":0.0000069382672,"about_ca_system_score_gemma":0.000023293711,"threshold_uncertainty_score":0.81159914},"labels":[],"label_agreement":null}]}