{"id":"W1589504844","doi":"10.1002/0470842555.ch20","title":"Health Databases in Saskatchewan","year":2000,"lang":"en","type":"other","venue":"Pharmacoepidemiology","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health","funders":"","keywords":"Strengths and weaknesses; Database; Computer science; Data science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003752942,0.0003047654,0.001273214,0.0005298242,0.0002137449,9.692332e-7,0.0002623583,0.0004006518,0.0412615],"category_scores_gemma":[0.0005225195,0.0002642229,0.00006321107,0.0002105947,0.00009017565,0.00004519228,0.00008121258,0.002368387,0.003565661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984337,"about_ca_system_score_gemma":0.001390936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05166915,"about_ca_topic_score_gemma":0.04031486,"domain_scores_codex":[0.992714,0.003806404,0.001669819,0.0004148615,0.0001650349,0.001229915],"domain_scores_gemma":[0.9964652,0.001734718,0.0009387546,0.0003936029,0.00001111374,0.0004565936],"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":[0.00003657988,0.0000264284,0.009229084,0.001410796,0.00001285889,0.000004207649,0.0007302542,0.000002595921,3.333979e-7,0.0002055547,0.9607931,0.02754824],"study_design_scores_gemma":[0.000926886,0.0000250748,0.001065574,0.001252671,0.000007835882,0.000002002911,0.0003063935,0.0002475114,1.510988e-7,0.00008048279,0.9958966,0.0001888607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007213658,0.006437196,0.001023299,0.02096709,0.003082865,0.00181481,0.0007153124,0.0006593741,0.9652279],"genre_scores_gemma":[0.001432488,0.02400625,0.002570638,0.17938,0.00432883,0.0006477374,0.003894155,0.0005126763,0.7832272],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1820007,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4054909531439705,"score_gpt":0.5730101256759584,"score_spread":0.1675191725319879,"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."}}