{"id":"W6931403746","doi":"10.5281/zenodo.14968792","title":"ilaneshaw/BRC: BRC","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Work (physics); Term (time); Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003440346,0.003112365,0.002161402,0.002864842,0.0008936687,0.00264129,0.004087117,0.002151631,0.3857409],"category_scores_gemma":[0.01338083,0.001992869,0.002131311,0.002055846,0.0005634583,0.002150357,0.002255309,0.002883753,0.294549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179014,"about_ca_system_score_gemma":0.001610458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006672919,"about_ca_topic_score_gemma":0.007516224,"domain_scores_codex":[0.9987685,0.0003227232,0.0001188231,0.0003086618,0.0003001752,0.0001811444],"domain_scores_gemma":[0.996347,0.001510487,0.0001764781,0.0009408004,0.000828859,0.0001963702],"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":[0.000580971,0.0001127341,0.001529641,0.0009302953,0.0002171282,0.0001314097,0.0002448384,0.008253137,0.00242825,0.0101756,0.9010763,0.07431976],"study_design_scores_gemma":[0.001314218,0.00009561488,0.003498261,0.0003735908,0.0001656795,0.0003106733,0.0001246982,0.1123507,0.01415113,0.03605732,0.8313047,0.0002534138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.002928918,0.0002954251,0.2145753,0.0003243948,0.0004960829,0.0002035482,0.2088242,0.5508025,0.02154961],"genre_scores_gemma":[0.02770398,0.0002135585,0.2248993,0.0003836344,0.000253885,0.0009417452,0.2841178,0.4405385,0.02094749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6142591,"threshold_uncertainty_score":0.876166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190595755150385,"score_gpt":0.2669943139507601,"score_spread":0.2450883563992563,"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."}}