{"id":"W2095695644","doi":"10.1136/tobaccocontrol-2014-051569","title":"Comparison of secondhand smoke exposure measures during pregnancy in the development of a clinical prediction model for small-for-gestational-age among non-smoking Chinese pregnant women","year":2014,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Sun Yat-sen University","keywords":"Cotinine; Medicine; Pregnancy; Small for gestational age; Logistic regression; Body mass index; Receiver operating characteristic; Gestation; Gestational age; Area under the curve; Obstetrics; Nicotine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001401085,0.0001582514,0.0006060401,0.0001162865,0.00009006184,0.0000142399,0.0001329049,0.0001480105,0.000004546089],"category_scores_gemma":[0.0004051037,0.0001120855,0.0001307617,0.0001004138,0.00005385754,0.00008659132,0.00001349517,0.0001688732,5.395649e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006824371,"about_ca_system_score_gemma":0.0001412663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001124781,"about_ca_topic_score_gemma":0.000151653,"domain_scores_codex":[0.9979547,0.00008601151,0.0011279,0.0002474701,0.0003500777,0.0002338003],"domain_scores_gemma":[0.9985964,0.0004075176,0.0004664618,0.0002446702,0.0002299634,0.00005496344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006470735,0.0003884736,0.9678036,0.0003080392,0.00008404539,4.392851e-7,0.01066699,0.001976928,0.001200807,0.00002696106,0.000003082232,0.01689355],"study_design_scores_gemma":[0.009697874,0.0003406362,0.9622536,0.0008656823,0.0001299515,9.810723e-7,0.0006044555,0.0251364,0.0007694793,0.00009883957,0.000004313088,0.0000977711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522545,0.00007432017,0.04573049,0.00002691544,0.0001130776,0.001687106,0.00003277048,0.00001801592,0.00006276152],"genre_scores_gemma":[0.9979893,0.000004539419,0.0007850569,0.00001778394,0.00008633402,0.0009981511,0.0000620566,0.00002023762,0.00003656867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04573473,"threshold_uncertainty_score":0.4570716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07448828810920878,"score_gpt":0.3576213612032239,"score_spread":0.2831330730940151,"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."}}