{"id":"W2905370099","doi":"","title":"See One, Do One?","year":2019,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006012776,0.0004090228,0.0008559019,0.001776615,0.01178285,0.005195119,0.001140996,0.009077837,0.06690568],"category_scores_gemma":[0.04883016,0.0003395243,0.0005526087,0.001914125,0.006134149,0.007212857,0.002047374,0.01089295,0.01007654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01710616,"about_ca_system_score_gemma":0.09553315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6523402,"about_ca_topic_score_gemma":0.8601955,"domain_scores_codex":[0.9962927,0.0008674619,0.0001605483,0.0003847552,0.001207959,0.001086557],"domain_scores_gemma":[0.973488,0.003599664,0.0008439406,0.0004947269,0.007450044,0.01412364],"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":[0.00002188394,0.00003412869,0.003077699,0.00007463803,0.000009102142,0.0002771981,0.0007510729,0.00001768973,0.00003152267,0.009596627,0.9418923,0.04421616],"study_design_scores_gemma":[0.00004007476,0.00002121521,0.004718675,0.0009330595,0.00002534582,0.0009011582,0.008525386,0.00005344614,0.0000344127,0.01124229,0.9734386,0.00006638646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008516644,0.01092355,0.0001766298,0.952032,0.008279402,0.00001371058,0.0002188275,0.00003068661,0.0274736],"genre_scores_gemma":[0.05446006,0.04101936,0.00189148,0.7733857,0.01259423,0.00006279346,0.0003102178,0.0002246918,0.1160514],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6523402,"threshold_uncertainty_score":0.6994145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615842668101076,"score_gpt":0.1784105013024809,"score_spread":0.1422520746214701,"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."}}