{"id":"W2795473553","doi":"10.21840/siic/149973","title":"Instrumentos para la Predicción y Prevención del Parto Pretérmino","year":2016,"lang":"es","type":"report","venue":"","topic":"Nursing care and research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Medicine; Humanities; Philosophy","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":[0.009241644,0.0008398351,0.0007944601,0.003029519,0.0006833079,0.0009890061,0.0008999814,0.0006095242,0.004057971],"category_scores_gemma":[0.02612833,0.0003253505,0.001292603,0.00240504,0.0004743985,0.0005954181,0.001078518,0.000884898,0.0004950197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009056799,"about_ca_system_score_gemma":0.002702146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0048565,"about_ca_topic_score_gemma":0.007178764,"domain_scores_codex":[0.9959009,0.00220229,0.0005885587,0.0001831282,0.0009114428,0.0002136171],"domain_scores_gemma":[0.9835922,0.009523904,0.003352924,0.000573335,0.002409058,0.0005485832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001881075,0.001280421,0.8442533,0.000895793,0.0003298419,0.0001364581,0.001302242,0.0009507785,0.0008465881,0.001111586,0.002944977,0.1440669],"study_design_scores_gemma":[0.0002083775,0.002057347,0.9791929,0.0007707163,0.0004852024,0.0002726787,0.001802013,0.003520065,0.002098442,0.001690705,0.007847498,0.00005414189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443424,0.004400588,0.009093138,0.001994529,0.0003724471,0.004055375,0.01000727,0.0001865742,0.0255477],"genre_scores_gemma":[0.9366317,0.00545035,0.03971257,0.0004828957,0.0001671415,0.006338805,0.003864025,0.00003799152,0.007314427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009241644,"threshold_uncertainty_score":0.04887503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157277696907367,"score_gpt":0.509586788081293,"score_spread":0.3523090911739259,"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."}}