{"id":"W6939692938","doi":"10.6084/m9.figshare.15178977.v1","title":"Additional file 1 of The current and potential uses of Electronic Medical Record (EMR) data for primary health care performance measurement in the Canadian context: a qualitative analysis","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information; University of Toronto","funders":"","keywords":"Primary care; File format; Medical record; Data file; Qualitative analysis; Computer file; Electronic health record; File system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004655139,0.0006101467,0.0007527354,0.005294778,0.002515756,0.001673291,0.001885379,0.0007792688,0.7817991],"category_scores_gemma":[0.04651486,0.0004261392,0.0005901986,0.01111506,0.0005292234,0.001886216,0.00153541,0.0009771409,0.06175583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01330653,"about_ca_system_score_gemma":0.02499882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5838081,"about_ca_topic_score_gemma":0.6705413,"domain_scores_codex":[0.9980748,0.0004846069,0.0002455496,0.0002027972,0.0006304291,0.0003617312],"domain_scores_gemma":[0.9367954,0.04125304,0.001790631,0.001850326,0.01685418,0.001456495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008165419,0.00005276211,0.00209335,0.001980719,0.000009739701,0.0000481139,0.001309455,0.0001809441,0.00004112198,0.001117892,0.9807919,0.01229242],"study_design_scores_gemma":[0.0008840199,0.0001184987,0.0718663,0.005249546,0.00006626432,0.0001984765,0.01244597,0.001107323,0.000372402,0.003994248,0.9035072,0.0001898257],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005869498,0.00001686202,0.0002305996,0.0002874589,0.00002247754,0.0004422983,0.9945832,0.00009330286,0.00373686],"genre_scores_gemma":[0.02964295,0.0003881391,0.01083476,0.00118605,0.00009587785,0.01300749,0.8979722,0.000536675,0.04633599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7817991,"threshold_uncertainty_score":0.8372858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631065076843188,"score_gpt":0.4506237167045865,"score_spread":0.2875172090202676,"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."}}