{"id":"W2903409116","doi":"10.1136/bmj.k4884","title":"Rethinking community based strategies to tackle health inequities in South Asia","year":2018,"lang":"en","type":"article","venue":"BMJ","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Data science; South asia; Computer science; Medicine; Political science; Economic growth; Sociology; Ethnology","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":[],"consensus_categories":[],"category_scores_codex":[0.02116742,0.001385744,0.001334257,0.001978358,0.006778269,0.009776399,0.004878276,0.01098228,0.01268048],"category_scores_gemma":[0.02573776,0.000581396,0.001699288,0.001109629,0.009036953,0.0116815,0.02566309,0.0185785,0.001894144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005125703,"about_ca_system_score_gemma":0.04247915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784317,"about_ca_topic_score_gemma":0.03613002,"domain_scores_codex":[0.9914909,0.004044082,0.000382148,0.0004236765,0.001374786,0.002284329],"domain_scores_gemma":[0.972875,0.008499403,0.001494803,0.001180572,0.004070025,0.01188012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000215741,0.002172425,0.01934814,0.005616215,0.001009744,0.001890624,0.05742313,0.001797051,0.003570232,0.07371167,0.3611112,0.4721338],"study_design_scores_gemma":[0.0004427067,0.001063764,0.0238698,0.009956361,0.0005170652,0.0006485397,0.1073343,0.001642054,0.002240217,0.1515807,0.700374,0.0003305394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01123647,0.008343935,0.00415169,0.9583693,0.007449617,0.0002089712,0.00007460142,0.0001890638,0.009976345],"genre_scores_gemma":[0.2667679,0.01942587,0.02210608,0.6694452,0.008126779,0.001175157,0.0001675808,0.0002218804,0.01256358],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02116742,"threshold_uncertainty_score":0.1119453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07807442959418061,"score_gpt":0.3775274388058435,"score_spread":0.2994530092116629,"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."}}