{"id":"W4317863097","doi":"10.46747/cfp.690169","title":"Journey of reconciliation","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Social Science and Policy Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Computer science; World Wide Web; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03003602,0.0007976718,0.001101876,0.002234095,0.02355731,0.01920375,0.003371733,0.009544922,0.03304017],"category_scores_gemma":[0.0588524,0.0005612492,0.001078225,0.002060593,0.02896687,0.02466034,0.02698419,0.01797141,0.007868249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01110514,"about_ca_system_score_gemma":0.03760632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515901,"about_ca_topic_score_gemma":0.01640764,"domain_scores_codex":[0.9682937,0.02047807,0.0007541965,0.002015262,0.004844042,0.003614779],"domain_scores_gemma":[0.9713657,0.006526121,0.001263187,0.006144063,0.007745723,0.006955224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004566635,0.00005277622,0.0004861123,0.0001224664,0.00002416417,0.0003811664,0.02895287,0.0001574787,0.0001479103,0.7183697,0.2043221,0.04693772],"study_design_scores_gemma":[0.000009788742,0.00003037541,0.0003071787,0.0004162922,0.000007021083,0.0003162356,0.02091303,0.0001423274,0.00009294219,0.1715601,0.8061748,0.00002996515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008011961,0.01207767,0.01874362,0.6007416,0.007130921,0.0001733018,0.0002267408,0.0004054319,0.3524888],"genre_scores_gemma":[0.6251799,0.01184489,0.03134933,0.1311156,0.004248742,0.0004546528,0.0005786654,0.001299893,0.1939282],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.984841,"threshold_uncertainty_score":0.1588475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325676765293673,"score_gpt":0.391567797021613,"score_spread":0.2590001204922457,"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."}}