{"id":"W7162166110","doi":"","title":"Health of Women and Children","year":2010,"lang":"en","type":"report","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Government (linguistics); Statement (logic); State (computer science); Public health; State government; Advice (programming)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.002176343,0.0006006511,0.000465667,0.001102956,0.001928213,0.0018267,0.001032493,0.003269223,0.03582969],"category_scores_gemma":[0.007512454,0.0003134936,0.0005303627,0.001435278,0.0005196101,0.001660415,0.002947166,0.003267393,0.006283735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862801,"about_ca_system_score_gemma":0.02783287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1691342,"about_ca_topic_score_gemma":0.2718785,"domain_scores_codex":[0.9979098,0.0002687737,0.00008076373,0.0001037536,0.0006258307,0.001011022],"domain_scores_gemma":[0.9969568,0.0003634214,0.0001758405,0.0001244413,0.0008968914,0.001482445],"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":[0.00002491161,0.00002632546,0.003587935,0.0002140711,0.000008005086,0.00008872065,0.0004127546,0.00001622488,0.00009290584,0.004550271,0.9531255,0.03785235],"study_design_scores_gemma":[0.00001527234,0.00003933284,0.02749669,0.0007400262,0.0000123024,0.0001175855,0.0009682871,0.00001077311,0.00009779106,0.0006853042,0.9698057,0.00001107989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01231142,0.04079301,0.0003009973,0.3780121,0.03291442,0.0008979291,0.06779715,0.0003066349,0.4666664],"genre_scores_gemma":[0.09359109,0.08759992,0.002486344,0.1358853,0.009293861,0.003117507,0.03573994,0.0002531905,0.6320329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1691342,"threshold_uncertainty_score":0.3362995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537791330149737,"score_gpt":0.3740392542249804,"score_spread":0.328661340923483,"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."}}