{"id":"W3204463143","doi":"10.25011/cim.v44i3.36707","title":"Physician Scientists Of Yesterday, Today And Tomorrow","year":2021,"lang":"en","type":"editorial","venue":"Clinical and investigative medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Southeastern Ontario Academic Medical Organization","keywords":"Yesterday; Bench to bedside; Engineering ethics; Medicine; Narrative review; Translational research; Alternative medicine; Pandemic; Patient care; Medical education; Coronavirus disease 2019 (COVID-19); Public relations; Political science; Nursing; Disease; Internal medicine; Pathology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009041039,0.003254285,0.002091963,0.002817006,0.004293488,0.008894756,0.003056775,0.01513709,0.009679088],"category_scores_gemma":[0.03559384,0.0009262184,0.001849035,0.001551049,0.003877993,0.00814088,0.00225257,0.02444098,0.00741845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004486796,"about_ca_system_score_gemma":0.006665344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241191,"about_ca_topic_score_gemma":0.005995204,"domain_scores_codex":[0.9932216,0.001634556,0.0006468663,0.0007828521,0.00332058,0.0003935369],"domain_scores_gemma":[0.9758831,0.01413381,0.001181904,0.0005859127,0.005362007,0.002853226],"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":[0.00003036153,0.000009876067,0.00005393062,0.0004632255,0.00001035173,0.0001341298,0.0001111906,0.00002155463,0.00004811212,0.002049636,0.9885195,0.008548055],"study_design_scores_gemma":[0.00001484086,0.00001226774,0.0001352494,0.0006198364,0.00001712221,0.0001486364,0.0001396762,0.00003445119,0.00004924473,0.001372851,0.9974462,0.000009686029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000522362,0.01623195,0.0001225635,0.07291145,0.9074363,0.00002384627,0.0000393469,0.0000337786,0.003148597],"genre_scores_gemma":[0.001011093,0.02382253,0.0002107392,0.07496625,0.8822775,0.00005007982,0.00003825024,0.00004718808,0.01757643],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01513709,"threshold_uncertainty_score":0.04781419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3124475262653004,"score_gpt":0.4903641963696396,"score_spread":0.1779166701043392,"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."}}