{"id":"W4232168675","doi":"10.1139/cjppacs01","title":"Subject Classification / Classification thématiqueVolume 79, 2001","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Physics; Subject (documents); Classification scheme; Pattern recognition (psychology); Artificial intelligence; Library science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008909386,0.0000762357,0.0001465111,0.0001400328,0.000733479,0.000157031,0.0002619567,0.0000903928,0.0002929628],"category_scores_gemma":[0.0001836985,0.00008187658,0.0000824278,0.0004525235,0.0001517451,0.0005749394,0.000002277216,0.0001996175,0.00006582438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006167229,"about_ca_system_score_gemma":0.004460554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05006121,"about_ca_topic_score_gemma":0.6173602,"domain_scores_codex":[0.9987599,0.0001649645,0.0003353272,0.00009982252,0.0003057813,0.000334249],"domain_scores_gemma":[0.9982483,0.00004051179,0.0003740347,0.0001412388,0.0005743004,0.0006215785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001451167,0.00007352134,0.5169859,0.00002784321,0.00003442976,0.00002157988,0.02749446,0.00003321738,0.0004308966,0.2816657,0.1538511,0.01936687],"study_design_scores_gemma":[0.0002953742,0.0000818014,0.7220649,0.00005437885,0.0000487775,0.00001655437,0.00886449,0.0005123743,0.00003328444,0.05864444,0.2091507,0.0002329059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923962,0.0004772434,0.008241909,0.01161779,0.001588629,0.0003040389,0.00001470032,0.0000270717,0.05376665],"genre_scores_gemma":[0.9953241,0.0009704772,0.0002213953,0.0002595275,0.001720906,0.000002140065,0.000008201597,0.00001029577,0.001482937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5672989,"threshold_uncertainty_score":0.9562645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06906301231952852,"score_gpt":0.3249744711535625,"score_spread":0.255911458834034,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}