{"id":"W7115824277","doi":"","title":"YOUTH AND MATERNAL HEALTH IN LOW-RESOURCE SETTINGS","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Global Health and Epidemiology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Maternal health; Pregnancy; Population; Protocol (science); Maternal morbidity; Public health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003214562,0.0001778862,0.0003711242,0.0007976065,0.001327462,0.001150696,0.0006054423,0.0004291866,0.007016976],"category_scores_gemma":[0.01252468,0.0003703056,0.0003011183,0.001875961,0.0004044765,0.0004993501,0.001329871,0.0008381383,0.0002557971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116387,"about_ca_system_score_gemma":0.005442578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06648124,"about_ca_topic_score_gemma":0.1040421,"domain_scores_codex":[0.9974747,0.001442993,0.0001993105,0.0001517694,0.0002100126,0.0005211767],"domain_scores_gemma":[0.996776,0.00152754,0.0005512155,0.0001191966,0.0003682557,0.0006577027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005854469,0.0008224564,0.9433392,0.001053925,0.0001454873,0.0003250616,0.01435412,0.00008650954,0.0001581577,0.001337628,0.009370578,0.0284214],"study_design_scores_gemma":[0.0001337224,0.0003261084,0.9718736,0.001059448,0.0001241915,0.00006059585,0.02303614,0.00008277978,0.0001682961,0.0003557811,0.002764696,0.00001457366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984663,0.001917632,0.0001547654,0.003136017,0.0000812355,0.0008431501,0.00433989,0.000005196754,0.004859146],"genre_scores_gemma":[0.9936725,0.001774677,0.0003922282,0.0003837277,0.00002984467,0.00168693,0.0007760444,0.000003699578,0.001280226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06648124,"threshold_uncertainty_score":0.1321886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811307933636885,"score_gpt":0.3280328814012243,"score_spread":0.2999198020648554,"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."}}