{"id":"W3191956364","doi":"10.46747/cfp.6708564","title":"Benefits of salaried model","year":2021,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Executive director; Medical education; Medicine; Data science; Management; Library science; Computer science; Political science; 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":[0.0123912,0.0006787828,0.0005470682,0.0008536812,0.006508394,0.008026754,0.002945696,0.01499463,0.07158857],"category_scores_gemma":[0.05886219,0.0002424191,0.0008767997,0.0007309752,0.006278917,0.00771914,0.009058975,0.01450948,0.01633552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007272844,"about_ca_system_score_gemma":0.0129685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678688,"about_ca_topic_score_gemma":0.03347852,"domain_scores_codex":[0.9859147,0.005038539,0.000373419,0.0007110204,0.005393784,0.002568556],"domain_scores_gemma":[0.9652487,0.007609237,0.001597168,0.002254531,0.007062145,0.01622823],"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":[0.00004133007,0.0001211002,0.001001206,0.00005378011,0.00001403477,0.0003587764,0.0005522401,0.00008236879,0.00004421094,0.05605425,0.9150148,0.02666178],"study_design_scores_gemma":[0.00006264368,0.0001335195,0.002129412,0.0004800757,0.00001619522,0.0007276722,0.001729497,0.0002348508,0.00006067153,0.03340318,0.9609879,0.0000344255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001597831,0.001279938,0.0006114982,0.9161761,0.0125649,0.00002211611,0.00007524566,0.0001224594,0.06754988],"genre_scores_gemma":[0.08150712,0.002332245,0.001104709,0.8261854,0.02098587,0.00009406814,0.0001433958,0.0002088747,0.06743839],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9832131,"threshold_uncertainty_score":0.2394876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0720562131427463,"score_gpt":0.3471048252766002,"score_spread":0.2750486121338539,"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."}}