{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"bc9c62c3d774","filters":{"venue":"˜The œproceedings of sliit international conference on advancements in science and humanities"}},"results":[{"id":"W4391438145","doi":"10.54389/putk8575","title":"Development of SARIMA Model to Predict Quarterly Apparel and Textile Export Revenue in Sri Lanka","year":2023,"lang":"en","type":"article","venue":"˜The œproceedings of sliit international conference on advancements in science and humanities","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Sri lanka; Revenue; Akaike information criterion; Volatility (finance); Econometrics; Clothing; Autoregressive model; Statistics; Quarter (Canadian coin); Mean absolute percentage error; Mathematics; Time series; Economics; Agricultural economics; Mean squared error; Geography; Finance; Socioeconomics","authors":[{"name":"K. G. V Piyasiri","is_ca":false},{"name":"Udeerna Kasthuriarachchi","is_ca":false},{"name":"K. G. R Nirmani","is_ca":false},{"name":"K.I Tilakaratne","is_ca":false},{"name":"T. S. G. Peiris","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07344172425406492,"gpt":0.2884911777206217,"spread":0.2150494534665568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001072329,0.0007503379,0.0008267045,0.000652121,0.0003520494,0.001082047,0.001177422,0.0007801452,0.001806388],"category_scores_gemma":[0.001392512,0.0005063436,0.001084154,0.0004814934,0.0002175065,0.0005391319,0.0005359761,0.001288329,0.0004640423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374341,"about_ca_system_score_gemma":0.001365687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04701783,"about_ca_topic_score_gemma":0.02559583,"domain_scores_codex":[0.9997261,0.00007722175,0.00002148567,0.00007715343,0.00003827963,0.00005975537],"domain_scores_gemma":[0.9994745,0.0002718981,0.00005305288,0.00001664171,0.0001579819,0.00002595099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009766932,0.0001021551,0.01167208,0.00005185101,0.00009217843,0.0001645265,0.00007781955,0.9692082,0.0009392498,0.001025401,0.001040357,0.01552847],"study_design_scores_gemma":[0.000004307276,0.00002163503,0.001019233,0.000005294191,0.000009041693,0.000006991545,0.0000165048,0.9984131,0.000156141,0.0001787431,0.0001631689,0.000005921171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7987752,0.001246462,0.1890105,0.00087074,0.0001579032,0.0001410124,0.001475396,0.001210083,0.007112625],"genre_scores_gemma":[0.9756363,0.0003900602,0.01818939,0.00005436673,0.00003287737,0.0001139282,0.001350904,0.00004039869,0.004191755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04701783,"threshold_uncertainty_score":0.09348834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391455529","doi":"10.54389/rphk7009","title":"Liability of the Air Carrier for the Death and Injury of a Passenger","year":2023,"lang":"en","type":"article","venue":"˜The œproceedings of sliit international conference on advancements in science and humanities","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Aviation law; Liability; Law; Convention; Civil aviation; Unification; Context (archaeology); International law; Legal liability; Aviation; Political science; Engineering; Business; Public international law; Computer science; Geography","authors":[{"name":"B.M.A.H.H Balasuriya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06739932732406326,"gpt":0.3545657142965528,"spread":0.2871663869724895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003991547,0.0002470192,0.0002182088,0.001948044,0.003341959,0.003998865,0.001015424,0.003395453,0.003868367],"category_scores_gemma":[0.01266973,0.0001755048,0.0003674547,0.001243777,0.008698197,0.002955176,0.002680641,0.002469986,0.0006611197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002309263,"about_ca_system_score_gemma":0.004647891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466053,"about_ca_topic_score_gemma":0.009696642,"domain_scores_codex":[0.9938787,0.001632538,0.0007960022,0.0008955417,0.002009194,0.0007881733],"domain_scores_gemma":[0.9929836,0.00339185,0.001488615,0.0008776751,0.000991606,0.0002665834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001731707,0.00004105685,0.009477101,0.0001115792,0.00001146665,0.001332616,0.01805147,0.0003618154,0.0009604093,0.9376397,0.0100941,0.02190133],"study_design_scores_gemma":[0.00001808025,0.0002929718,0.04753686,0.001657986,0.0001209179,0.007271361,0.03208896,0.002799632,0.003909511,0.2562295,0.6478765,0.0001978024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2866037,0.01109788,0.02460453,0.02459018,0.001103549,0.0002930575,0.0006456843,0.00009161217,0.6509698],"genre_scores_gemma":[0.9574926,0.003771165,0.003977923,0.002600027,0.0004125157,0.00009741061,0.0002150495,0.00001470175,0.0314186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01466053,"threshold_uncertainty_score":0.02915043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7118817543","doi":"10.54389/bfea8387","title":"A Right to Explanation for Algorithmic Credit Decisions in the UK","year":2025,"lang":"","type":"article","venue":"˜The œproceedings of sliit international conference on advancements in science and humanities","topic":"Legal Language and Interpretation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Distrust; Transparency (behavior); Process (computing); Accountability; Statutory law; Financial services; Credit card; Misrepresentation","authors":[{"name":"Alison Lui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0492433805445838,"gpt":0.3656328452474607,"spread":0.3163894647028769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02028376,0.0003949742,0.0007252193,0.0009305763,0.006103547,0.01260735,0.002193703,0.02748303,0.0153083],"category_scores_gemma":[0.08416457,0.0006958592,0.0008750419,0.000907775,0.02435413,0.01075677,0.009768204,0.0154766,0.004383077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0092805,"about_ca_system_score_gemma":0.01436509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355764,"about_ca_topic_score_gemma":0.02107611,"domain_scores_codex":[0.9723133,0.01264745,0.002552787,0.002747124,0.00578098,0.003958357],"domain_scores_gemma":[0.9334348,0.04541891,0.005386147,0.007137609,0.006164275,0.002458249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004251051,0.00002709698,0.0009593851,0.00004853338,0.000004509626,0.0005489992,0.003970936,0.0004419129,0.0001261385,0.9408112,0.04199855,0.01102023],"study_design_scores_gemma":[0.0001073446,0.00005454295,0.001683614,0.0005117792,0.00001358558,0.0005984898,0.0013947,0.00249907,0.000545124,0.6356269,0.3568262,0.0001387017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03605206,0.005783439,0.02988436,0.5872118,0.003122464,0.0002056568,0.0004536755,0.0003125275,0.336974],"genre_scores_gemma":[0.7693241,0.001924464,0.008502515,0.1429186,0.001667144,0.0002632108,0.0001878422,0.0001213108,0.07509083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03355764,"threshold_uncertainty_score":0.107272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7120184067","doi":"10.54389/mwaz9065","title":"Differences in Cognitive Functions based on English Language Proficiency in Young Adults","year":2025,"lang":"","type":"article","venue":"˜The œproceedings of sliit international conference on advancements in science and humanities","topic":"Educational and Psychological Assessments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cognition; Language proficiency; Young adult; Montreal Cognitive Assessment; Sample (material); English language; Limited English proficiency; Confounding","authors":[{"name":"Methmi Liyanage","is_ca":false},{"name":"Avishka Gamaathige","is_ca":false},{"name":"Sanithma Hewagama","is_ca":false},{"name":"Taveesha Perera","is_ca":false},{"name":"Nilusha Goonetilleke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06117189162886357,"gpt":0.379960526024552,"spread":0.3187886343956884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004748506,0.0002475926,0.0001966692,0.0008940495,0.0002772879,0.0005697705,0.0001363193,0.0002146125,0.001473241],"category_scores_gemma":[0.001837745,0.000132195,0.0002342033,0.0002773283,0.0003193567,0.000364548,0.0004018069,0.0002721362,0.0002792945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440061,"about_ca_system_score_gemma":0.0002389002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084854,"about_ca_topic_score_gemma":0.02307755,"domain_scores_codex":[0.9997811,0.00003806005,0.00003309566,0.00004320936,0.00005000942,0.00005447921],"domain_scores_gemma":[0.9991603,0.0002294283,0.0002894388,0.00002776997,0.0001213658,0.0001717451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006295863,0.00003786479,0.9955515,0.00001191592,0.00001869754,0.0001227512,0.001428777,0.00001377468,0.0005671685,0.00001325825,0.00003161495,0.002139675],"study_design_scores_gemma":[0.000001013012,0.0000781493,0.9991257,0.000002755952,0.000003056251,0.00008106496,0.0006095039,0.00001228803,0.00004779076,0.000006496007,0.00003098537,0.00000135831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996054,0.00005347093,0.00001214539,0.000005393435,9.380154e-7,0.000003416034,0.00004296027,7.163688e-7,0.0002756702],"genre_scores_gemma":[0.9997677,0.00002559838,0.00002265252,0.000007467043,8.291281e-7,0.000004110508,0.00005207581,3.482249e-7,0.0001191365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084854,"threshold_uncertainty_score":0.02157074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}