{"id":"W6904525921","doi":"10.1371/journal.pone.0306569.s001","title":"Description of Alberta provincial clinical and health administrative databases.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; Government (linguistics); Health care; MEDLINE; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188039,0.0007964923,0.0009081478,0.01139262,0.00137144,0.002989708,0.002779051,0.0005854459,0.08404028],"category_scores_gemma":[0.01138176,0.0006938094,0.0007132493,0.02970008,0.0003218272,0.0008318293,0.00115438,0.0009519641,0.02649792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01243628,"about_ca_system_score_gemma":0.0324105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8583886,"about_ca_topic_score_gemma":0.8466012,"domain_scores_codex":[0.9980903,0.0002001813,0.0002705138,0.0002749924,0.0008163124,0.0003476001],"domain_scores_gemma":[0.988426,0.001488015,0.0006108747,0.0008895536,0.007498908,0.001086765],"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":[0.0002661579,0.00003296998,0.01022394,0.0007127838,0.0000442252,0.0001064556,0.0001909661,0.001021803,0.0003833025,0.005089676,0.9414156,0.04051207],"study_design_scores_gemma":[0.0002001527,0.00002569743,0.05096049,0.0005036817,0.00007404803,0.0002777269,0.0005029629,0.00165955,0.0007667093,0.002716036,0.9422313,0.00008162422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00166806,0.0003296987,0.001326096,0.0003537344,0.00008675124,0.0003116423,0.982031,0.0007581229,0.01313483],"genre_scores_gemma":[0.01733945,0.000600306,0.01128808,0.0003683429,0.00004494101,0.000698668,0.9518479,0.0004840848,0.0173282],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1416114,"threshold_uncertainty_score":0.2848907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7557042515031426,"score_gpt":0.5915089638347719,"score_spread":0.1641952876683707,"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."}}