{"id":"W4200375536","doi":"10.46747/cfp.6712889","title":"Primer for artificial intelligence in primary care","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; Western University","funders":"","keywords":"Primary care; Computer science; Artificial intelligence; Stakeholder; Data science; Knowledge management; Medicine; Management; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167483,0.0001519097,0.0002052445,0.0001898019,0.0001589638,0.0001154409,0.0006276135,0.0000836422,0.00000115469],"category_scores_gemma":[0.00003422745,0.0001852837,0.00007699797,0.0007080614,0.00003261678,0.0001941759,0.00007710904,0.0002629973,0.00005551235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006700442,"about_ca_system_score_gemma":0.002517401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01054041,"about_ca_topic_score_gemma":0.0435643,"domain_scores_codex":[0.9983791,0.00008585463,0.0002538502,0.000530362,0.0001644983,0.0005863107],"domain_scores_gemma":[0.9987243,0.00009281767,0.00005167146,0.0006128523,0.0002153909,0.0003029401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003117435,0.00002091172,0.0004444383,0.000147293,0.000006851865,0.00009378728,0.0009631714,0.0006513975,0.0006079127,0.09848329,0.0007139102,0.8978639],"study_design_scores_gemma":[0.0007905782,0.0005682271,0.1992357,0.001039806,0.00003932978,0.00001207708,0.008580441,0.1504463,0.01070206,0.1060677,0.5188546,0.003663232],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08184356,0.01268847,0.4564382,0.02004213,0.007003979,0.003561904,0.0003607347,0.0006899903,0.417371],"genre_scores_gemma":[0.839304,0.0000132463,0.04439823,0.1152182,0.0005276131,0.0001341621,0.000183283,0.00005247837,0.0001687866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8942007,"threshold_uncertainty_score":0.9960485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114812706395331,"score_gpt":0.2777856964996293,"score_spread":0.2466375694356759,"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."}}