{"id":"W4282983624","doi":"10.46747/cfp.6806402_1","title":"Encouraging French FMF content","year":2022,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Alternative medicine; Medicine; Family medicine; Library science; Data science; Computer science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02476736,0.0009463644,0.001004081,0.001700235,0.01236336,0.009966029,0.002181723,0.04651808,0.02866349],"category_scores_gemma":[0.1343837,0.0007954696,0.001386807,0.0009964078,0.004964523,0.003772532,0.004544673,0.03224809,0.009308888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02566565,"about_ca_system_score_gemma":0.05019531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1428965,"about_ca_topic_score_gemma":0.1669238,"domain_scores_codex":[0.9679437,0.01049899,0.001551883,0.002480624,0.01065929,0.006865532],"domain_scores_gemma":[0.8728641,0.0417429,0.004354232,0.003407912,0.05235017,0.02528071],"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":[0.0000122779,0.00001275756,0.000176043,0.00004319767,0.000005385913,0.0001883746,0.0002654165,0.00001296176,0.00008156342,0.001688897,0.9940115,0.003501652],"study_design_scores_gemma":[0.00002533977,0.00001502099,0.0007827372,0.0002357337,0.00000833887,0.0002475748,0.0004817392,0.00007107385,0.0001251824,0.0008165546,0.997169,0.00002177785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002721774,0.001639831,0.0001528745,0.9607028,0.03039167,0.00002344905,0.00005131542,0.00005076771,0.006715233],"genre_scores_gemma":[0.01266988,0.001184906,0.0008161173,0.9221266,0.02886922,0.0001047658,0.0000911485,0.0001195427,0.03401793],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1428965,"threshold_uncertainty_score":0.2841296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2313696269474111,"score_gpt":0.3810522176096096,"score_spread":0.1496825906621984,"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."}}