{"id":"W4376643335","doi":"10.46747/cfp.6905309","title":"Offer CME and accelerate licensing","year":2023,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Immigration; Population; Data science; Medicine; Medical education; Family medicine; Computer science; Political science; Environmental health; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002115058,0.0007611336,0.0004075459,0.0008738197,0.0032103,0.003240222,0.001546576,0.01918328,0.2513118],"category_scores_gemma":[0.0159822,0.0004070361,0.000895972,0.0004504012,0.001132158,0.004376764,0.004645551,0.0119085,0.1357287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972182,"about_ca_system_score_gemma":0.007890293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005795192,"about_ca_topic_score_gemma":0.01970684,"domain_scores_codex":[0.9974321,0.0003181137,0.0001145707,0.0001990125,0.001202102,0.0007340401],"domain_scores_gemma":[0.9894666,0.001395851,0.0004017391,0.0003660131,0.001932534,0.006437255],"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":[0.00001062906,0.0001344895,0.0002480086,0.00002381819,0.000001176558,0.0002573962,0.00002537006,0.00003111768,0.0001158501,0.001256713,0.9818268,0.01606852],"study_design_scores_gemma":[0.00006004811,0.00007075167,0.001576723,0.0001033812,0.000001999135,0.000653577,0.0001363824,0.0002423738,0.0001131771,0.002143366,0.9948778,0.00002034258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001886939,0.0008323456,0.0009399318,0.6804317,0.04763881,0.0003510885,0.0002188748,0.0008043554,0.266896],"genre_scores_gemma":[0.01332705,0.001791156,0.002124269,0.5032889,0.05628115,0.0002574914,0.0003280184,0.0002106654,0.4223913],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2513118,"threshold_uncertainty_score":0.8407217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06222762791562069,"score_gpt":0.3069126711895783,"score_spread":0.2446850432739576,"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."}}