{"id":"W2794583682","doi":"10.2196/10559","title":"Risk Factors for Preterm Birth in Morocco, 2017","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obstetrics; Gestation; Preterm delivery; Premature birth; Medicine; Pregnancy; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005160738,0.0003818869,0.0002931237,0.001165695,0.0009102169,0.0004437839,0.0003561405,0.0002619472,0.002786861],"category_scores_gemma":[0.001460738,0.0001764414,0.0003662844,0.0009171916,0.0002501119,0.0001847668,0.0004904811,0.0003511051,0.0002080929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009800059,"about_ca_system_score_gemma":0.000970613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03657192,"about_ca_topic_score_gemma":0.0217859,"domain_scores_codex":[0.9996748,0.00008684744,0.00003830337,0.00004571714,0.00007094874,0.00008353231],"domain_scores_gemma":[0.9996502,0.00005599801,0.0001444723,0.0000141794,0.00007224083,0.00006288788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008462612,0.00004561581,0.9878619,0.0001266579,0.00004892159,0.000967179,0.0005335203,0.00003436059,0.000202773,0.0001499666,0.0009691576,0.008975397],"study_design_scores_gemma":[0.000009035817,0.00009828686,0.9927338,0.0002181896,0.00008004249,0.002308681,0.001356143,0.0002608246,0.0001013317,0.0001442184,0.002680034,0.000009462334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882826,0.008263439,0.0001347651,0.001000567,0.00008215464,0.00002392517,0.0007366991,0.000007404791,0.0014685],"genre_scores_gemma":[0.9965435,0.00240889,0.0001525749,0.00009845388,0.00005351691,0.00001779334,0.000408101,0.000002139305,0.0003150755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03657192,"threshold_uncertainty_score":0.07271808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640130436807096,"score_gpt":0.293678877190082,"score_spread":0.267277572822011,"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."}}