{"id":"W2161651800","doi":"10.1186/1472-6874-4-s1-s30","title":"Synthesis : Pulling It All Together","year":2004,"lang":"en","type":"article","venue":"BMC Women s Health","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; University Health Network; University of British Columbia; Coalition for Research in Women's Health; Health Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.07606898,0.004009428,0.01010016,0.01719315,0.002725428,0.009672843,0.004179576,0.006395325,0.06519781],"category_scores_gemma":[0.3336152,0.001999562,0.009449095,0.01825289,0.002738354,0.007650618,0.007311758,0.006695413,0.008338723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091562,"about_ca_system_score_gemma":0.02472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04858607,"about_ca_topic_score_gemma":0.07351848,"domain_scores_codex":[0.8983309,0.06294848,0.01544447,0.005703797,0.0147544,0.002818031],"domain_scores_gemma":[0.8650584,0.08456267,0.00966221,0.01178858,0.02736581,0.001562319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002016001,0.00006793806,0.002415329,0.434142,0.01471329,0.0003920976,0.007422626,0.001084252,0.0006830828,0.01693703,0.3776076,0.1425189],"study_design_scores_gemma":[0.002077556,0.0004869594,0.01167243,0.4472618,0.03331555,0.0002058458,0.01788748,0.001079177,0.001418577,0.04445525,0.4397086,0.0004308613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01077682,0.3052812,0.04339608,0.2698937,0.09998278,0.09161197,0.1428876,0.001798641,0.03437132],"genre_scores_gemma":[0.1570918,0.2073333,0.1032795,0.2270397,0.0176275,0.2452986,0.01736902,0.001107094,0.02385346],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07606898,"threshold_uncertainty_score":0.402296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209582089491151,"score_gpt":0.3780730167351823,"score_spread":0.2571148077860673,"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."}}