{"id":"W6920317350","doi":"10.60692/wct3g-2fx16","title":"The impact of anti-tobacco legislation on birth weight in Peru","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Birth weight; Legislation; Gestational age; Low birth weight; Incidence (geometry); Public health; Premature birth; Pregnancy","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":[0.002114712,0.000264477,0.0003104915,0.0004853506,0.0003441189,0.0005604936,0.0004647594,0.0004186735,0.00144311],"category_scores_gemma":[0.008715726,0.0002018473,0.0005105734,0.0005101507,0.000661324,0.0003125905,0.001211008,0.0006809014,0.0001040112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008268554,"about_ca_system_score_gemma":0.0007682527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01489444,"about_ca_topic_score_gemma":0.01471475,"domain_scores_codex":[0.9977502,0.001578867,0.00007496672,0.0001746793,0.0002204763,0.0002007875],"domain_scores_gemma":[0.9964066,0.00151646,0.001370184,0.0002096753,0.0002456545,0.0002514211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002071876,0.003442206,0.9462318,0.0005012807,0.0005145237,0.0008998017,0.003457371,0.0004503129,0.002934888,0.0009369185,0.0006928983,0.03786601],"study_design_scores_gemma":[0.00006923181,0.002701534,0.9946667,0.00004704188,0.0001273923,0.0001059405,0.0008463486,0.0002948463,0.0002525348,0.00009795277,0.0007825273,0.000007896419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976118,0.0007696174,0.00009975611,0.0003533293,0.000007257629,0.00002330957,0.0001019904,0.000009173751,0.001023866],"genre_scores_gemma":[0.9984679,0.0007300322,0.0001924415,0.0001065319,0.00001139983,0.00006160168,0.0001361538,0.000004145323,0.0002896881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01489444,"threshold_uncertainty_score":0.02961546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423739913889417,"score_gpt":0.26395400694935,"score_spread":0.2197166078104558,"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."}}