{"id":"W4237851777","doi":"10.1503/cmaj.070921","title":"Corrections","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Historical and modern epidemiology studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006959097,0.00004458874,0.0001092361,0.0001031336,0.001631173,0.00002102486,0.0001364215,0.0003031247,0.002455099],"category_scores_gemma":[0.01075117,0.00004136124,0.00006318265,0.0002019498,0.0001028566,0.00006442023,0.000005282421,0.0005873468,0.0002694621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126139,"about_ca_system_score_gemma":0.001933533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02839814,"about_ca_topic_score_gemma":0.7101859,"domain_scores_codex":[0.9982439,0.0002031688,0.0002359713,0.00007290211,0.0007165138,0.0005275746],"domain_scores_gemma":[0.9973922,0.0005576059,0.00009452658,0.00002978342,0.0002816809,0.001644142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001548466,0.00001212204,0.1591614,3.490915e-7,0.00003732321,0.0001081031,0.003676597,5.717915e-7,5.600101e-7,0.008724332,0.7573196,0.07095748],"study_design_scores_gemma":[0.00008153995,0.000007243125,0.01986426,0.000003831777,0.000004870723,0.000008937399,0.001963672,0.000003369754,2.568601e-7,0.001159879,0.9768527,0.00004943641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02771209,0.0004895499,0.004875545,0.1984374,0.009298348,0.00008291912,0.000004454041,0.00006248248,0.7590372],"genre_scores_gemma":[0.900036,0.0008632113,0.0003200101,0.04509696,0.01154468,0.000003385988,0.000001773904,0.00001180497,0.04212221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8723239,"threshold_uncertainty_score":0.9996685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181933315680751,"score_gpt":0.312718685147753,"score_spread":0.2908993519909455,"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."}}