{"id":"W6977161700","doi":"10.6084/m9.figshare.14738523","title":"Additional file 1 of Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"File format; General practice; Data file; File management; Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048563,0.0006793238,0.001522045,0.003247778,0.001068477,0.001687544,0.001860713,0.001449742,0.7551184],"category_scores_gemma":[0.1380529,0.0006693081,0.001445946,0.005355322,0.0004224747,0.002134386,0.001264628,0.001294462,0.0742287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002616352,"about_ca_system_score_gemma":0.004572091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02743747,"about_ca_topic_score_gemma":0.03106061,"domain_scores_codex":[0.9962037,0.00101939,0.001033911,0.0006723832,0.0007496657,0.0003209516],"domain_scores_gemma":[0.8383934,0.1297787,0.009479425,0.007043194,0.01367626,0.001628914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007679732,0.0001999372,0.01308994,0.003835606,0.0001317446,0.00005540193,0.0002053571,0.0005665766,0.00004430367,0.001207376,0.9667957,0.0131],"study_design_scores_gemma":[0.01979898,0.0009034442,0.2966968,0.01364115,0.000876004,0.001114156,0.00165338,0.009540922,0.001020671,0.01491866,0.6394816,0.0003542561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001042491,0.00002819562,0.0002913555,0.0002257269,0.00003469374,0.000411712,0.9955184,0.0001214493,0.00232596],"genre_scores_gemma":[0.06874871,0.0002803543,0.01145696,0.002268007,0.000235204,0.014209,0.8808248,0.0008475442,0.02112945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7551184,"threshold_uncertainty_score":0.3492939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2321062181968119,"score_gpt":0.4302220208065984,"score_spread":0.1981158026097865,"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."}}