{"id":"W4295756218","doi":"10.46747/cfp.6809664","title":"Rapid recommendations","year":2022,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Key (lock); Computer science; Guideline; Salient; Data science; Medicine; Computer security; Pathology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006605889,0.00008321963,0.0002029887,0.0001469656,0.0005698744,0.000009369169,0.00007258962,0.00001704165,0.0001176358],"category_scores_gemma":[0.000003475329,0.00008756088,0.00007118514,0.0002565476,0.00002865627,0.0000328789,0.00004050241,0.0002020856,0.0001092452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006609793,"about_ca_system_score_gemma":0.000307023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004805599,"about_ca_topic_score_gemma":0.001653031,"domain_scores_codex":[0.999325,0.00003307626,0.000100984,0.0001646781,0.0001307729,0.000245456],"domain_scores_gemma":[0.9994276,0.00002090417,0.00002348202,0.0002304937,0.00005378067,0.0002437617],"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":[0.00000667829,0.00003573496,0.00004939589,0.000004215106,0.0001216626,0.00005134115,0.0001031288,0.000001522892,0.0006819799,0.0006323529,0.9242877,0.07402431],"study_design_scores_gemma":[0.000314398,0.00008493794,0.003211868,0.000006912088,0.0001557632,0.000004330711,0.001792303,0.00001890728,0.00004571974,0.0001321564,0.994137,0.00009570397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009458163,0.01178481,0.000003284132,0.04298356,0.0008347397,0.000369552,0.0002635342,0.00009299843,0.9342093],"genre_scores_gemma":[0.3746161,0.00006037657,0.0001128462,0.6224287,0.0002417285,0.00006696639,0.0001239713,0.00002107003,0.002328327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.931881,"threshold_uncertainty_score":0.726466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592298411283191,"score_gpt":0.255065728922411,"score_spread":0.2091427448095791,"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."}}