{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210243,0.0005343971,0.0003596962,0.004632274,0.00132674,0.002846137,0.0009991013,0.0006001905,0.09153117],"category_scores_gemma":[0.007005324,0.0007494997,0.0004108744,0.01622006,0.000461548,0.002170342,0.001576245,0.001027244,0.03325899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01465772,"about_ca_system_score_gemma":0.03565505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7792867,"about_ca_topic_score_gemma":0.850206,"domain_scores_codex":[0.9989557,0.0002069144,0.0001542083,0.000172218,0.0003577803,0.0001531851],"domain_scores_gemma":[0.9957176,0.001320175,0.000317899,0.0004398006,0.001729113,0.0004754766],"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":[0.0001423517,0.00004362862,0.01791009,0.000449241,0.00004279354,0.0001751721,0.0004991898,0.0007231999,0.0005268298,0.01181204,0.74248,0.2251954],"study_design_scores_gemma":[0.0001012789,0.00001523294,0.08823444,0.0005925156,0.00003944605,0.0001555041,0.001210806,0.00122687,0.000791909,0.004388164,0.9031841,0.00005984182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0246181,0.007351974,0.006068269,0.01828858,0.0007284468,0.0008347701,0.3821167,0.004428084,0.5555651],"genre_scores_gemma":[0.06995961,0.01624543,0.01861802,0.0061426,0.0001812846,0.001199534,0.1605871,0.001394203,0.7256722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2207133,"threshold_uncertainty_score":0.4440262,"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."}}