{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"978d0c196bd8","filters":{"venue":"Archiwum Odlewnictwa"}},"results":[{"id":"W1833252647","doi":"","title":"ZASTOSOWANIE SIECI NEURONOWYCH DO MODELOWANIA TEMPERATURY SOLIDUS PODEUTEKTYCZNYCH STOPÓW Al-Si-Cu","year":2006,"lang":"pl","type":"article","venue":"Archiwum Odlewnictwa","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Solidus; Physics; Materials science; Metallurgy","authors":[{"name":"L. A. Dobrzański","is_ca":false},{"name":"R. Maniara","is_ca":false},{"name":"J. H. Sokołowski","is_ca":true},{"name":"Witold T. Kierkus","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008374784338822713,"gpt":0.205589490886602,"spread":0.1972147065477793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195912,0.0002952033,0.0003795564,0.0001604032,0.0001911191,0.0006147856,0.0004559922,0.0003257913,0.002614544],"category_scores_gemma":[0.0003001913,0.0001666587,0.0003695211,0.0002919406,0.0003166376,0.000573694,0.0002904908,0.0003545098,0.0004051798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004956427,"about_ca_system_score_gemma":0.0004692813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002747083,"about_ca_topic_score_gemma":0.002482856,"domain_scores_codex":[0.9999132,0.000007308069,0.00000477441,0.00002859779,0.00003568494,0.00001043276],"domain_scores_gemma":[0.9999387,0.00001992816,0.000007226198,0.00001395609,0.00001677669,0.000003337442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008054933,0.0001130397,0.004296085,0.0006820983,0.0001067632,0.0003222778,0.000398215,0.2308031,0.6952127,0.01163673,0.001186733,0.05443678],"study_design_scores_gemma":[0.00004457844,0.0004866055,0.003992936,0.00002687682,0.0001137593,0.0002477514,0.0002139121,0.590902,0.3871443,0.006071439,0.0107017,0.00005414669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7296578,0.001100701,0.2500338,0.0002745572,0.0001424897,0.00008918731,0.0008358473,0.001224719,0.01664109],"genre_scores_gemma":[0.9810945,0.0006066149,0.01240309,0.00002249102,0.000005800185,0.00005772167,0.0002769398,0.00009015665,0.005442719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002747083,"threshold_uncertainty_score":0.008746564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W899774621","doi":"","title":"ZASTOSOWANIE METOD SZTUCZNEJ INTELIGENCJI DO KLASYFIKACJI WAD W ODLEWACH ZE STOPÓW Al-Si-Cu","year":2006,"lang":"pl","type":"article","venue":"Archiwum Odlewnictwa","topic":"Surface Treatment and Coatings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Physics; Theology; Philosophy","authors":[{"name":"L. A. Dobrzański","is_ca":false},{"name":"M. Krupiński","is_ca":false},{"name":"J. H. Sokołowski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009005711310030409,"gpt":0.2155801392974034,"spread":0.206574427987373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004465392,0.0004503338,0.0004922004,0.0007610364,0.0005217865,0.002045277,0.0005388678,0.0006320649,0.006475649],"category_scores_gemma":[0.0007704517,0.0003052668,0.0003302453,0.00058371,0.0005830461,0.0009061408,0.000693016,0.0005832212,0.001381582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588076,"about_ca_system_score_gemma":0.0007558153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323841,"about_ca_topic_score_gemma":0.002815441,"domain_scores_codex":[0.9993131,0.00005047622,0.0000389166,0.0001155232,0.0003950417,0.00008695696],"domain_scores_gemma":[0.9996206,0.00007802741,0.00005077137,0.00007158764,0.0001466836,0.00003240121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005597335,0.0001533917,0.004916145,0.001076167,0.00006346335,0.0003988773,0.0007909249,0.002990079,0.8585628,0.005937017,0.001789015,0.1227624],"study_design_scores_gemma":[0.00004962619,0.001402502,0.02305888,0.00009323387,0.0001875323,0.001207237,0.00194083,0.009781444,0.8712094,0.004149445,0.08682081,0.00009906555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519037,0.008675328,0.05826547,0.0008387683,0.0004705372,0.0002643882,0.0004862393,0.0008510127,0.07824451],"genre_scores_gemma":[0.943568,0.002883708,0.02218061,0.0001384613,0.00005216544,0.0001149799,0.0002995977,0.0001490879,0.0306133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006475649,"threshold_uncertainty_score":0.02166325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}