{"id":"W3021427352","doi":"10.1016/s1701-2163(16)32434-3","title":"Kenyan Adaptability","year":2007,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Kenya; Adaptability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002639463,0.0002475754,0.0001258515,0.0008232147,0.003883132,0.001103908,0.0002934131,0.0003057471,0.05820066],"category_scores_gemma":[0.0006475331,0.0001651747,0.0000894015,0.001095485,0.0006409043,0.0008210838,0.001369029,0.0004938054,0.004470158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653885,"about_ca_system_score_gemma":0.002863317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0389627,"about_ca_topic_score_gemma":0.1613699,"domain_scores_codex":[0.9997903,0.00002934277,0.00001088257,0.00002673986,0.00003200144,0.0001108238],"domain_scores_gemma":[0.9998314,0.00001914069,0.00003240323,0.00001336253,0.00004961433,0.00005408478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007435698,0.0002458204,0.09640235,0.0009548363,0.00004211915,0.005896989,0.05236514,0.0004830285,0.01115203,0.3951412,0.2080208,0.2285522],"study_design_scores_gemma":[0.0000250845,0.00004761387,0.1099721,0.000200148,0.00001098001,0.0008651588,0.01420656,0.00007967977,0.0005656016,0.002586719,0.8714186,0.00002169223],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.249922,0.001485199,0.0003780542,0.004543548,0.0001863131,0.0002162934,0.002235453,0.00005649263,0.7409766],"genre_scores_gemma":[0.6590516,0.001958152,0.001544068,0.001283006,0.00004135633,0.000211834,0.001487807,0.00004639368,0.3343758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05820066,"threshold_uncertainty_score":0.1947006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284700284630824,"score_gpt":0.2553148060516822,"score_spread":0.242467803205374,"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."}}