{"id":"W3191858576","doi":"10.46747/cfp.6708e227","title":"“Meet and greets” in family practice","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Nova Scotia Health Research Foundation","keywords":"Data science; Computer science; World Wide Web","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":[0.005987046,0.0001516469,0.0001512712,0.000521875,0.009374333,0.00286932,0.0009338937,0.001420911,0.002633191],"category_scores_gemma":[0.01969595,0.0002477409,0.0001500783,0.0006365642,0.01318132,0.001546305,0.002908872,0.001508657,0.000133959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01960656,"about_ca_system_score_gemma":0.03666239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4549895,"about_ca_topic_score_gemma":0.6237679,"domain_scores_codex":[0.9880283,0.008400726,0.0002299889,0.0004550199,0.001311252,0.001574712],"domain_scores_gemma":[0.9801826,0.01064442,0.00333263,0.000682244,0.00155403,0.00360403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009059517,0.00005975972,0.07251891,0.0002342351,0.00001011956,0.002964433,0.8754849,0.0001888441,0.0009194636,0.00847092,0.00625339,0.03280441],"study_design_scores_gemma":[0.00001490889,0.0001143504,0.09399103,0.0006288328,0.00001087171,0.001446441,0.8566592,0.0002409154,0.0002653263,0.002035261,0.04454578,0.00004710382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9478154,0.001227078,0.0009540141,0.02390378,0.0001198369,0.00006393385,0.00004475966,0.00001707836,0.02585404],"genre_scores_gemma":[0.9971135,0.0002197249,0.0003154885,0.001010766,0.00001183821,0.00001379123,0.000007953331,0.000003798592,0.001303118],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4549895,"threshold_uncertainty_score":0.9046824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079950826449989,"score_gpt":0.3778927078129443,"score_spread":0.3270931995484444,"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."}}