{"id":"W2990365614","doi":"10.1289/isee.2016.4844","title":"Gender-based analysis of environmental factors","year":2016,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Biological sex; Psychology; Environmental health; Sex characteristics; Intervention (counseling); Environmental epidemiology; Developmental psychology; Medicine","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":[0.004242302,0.0005120917,0.0005965292,0.001615018,0.0005099047,0.0007685382,0.0005351043,0.0003229955,0.009852782],"category_scores_gemma":[0.009359427,0.0001294422,0.001578285,0.001792072,0.0004172414,0.0004158904,0.0007948474,0.0005499398,0.0007771664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004423852,"about_ca_system_score_gemma":0.0008280957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007425216,"about_ca_topic_score_gemma":0.008054388,"domain_scores_codex":[0.9962941,0.001833716,0.0001949287,0.0005873452,0.0006488299,0.0004411612],"domain_scores_gemma":[0.9970182,0.001439824,0.0003467653,0.0004308994,0.0005915302,0.0001727421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001465122,0.000175748,0.8749499,0.0004888033,0.001558801,0.0004942919,0.002530626,0.0009138099,0.003622924,0.008105742,0.009998312,0.09569604],"study_design_scores_gemma":[0.00002349295,0.0006676082,0.9597964,0.000127139,0.0003596619,0.0004634601,0.001730491,0.002869724,0.001282882,0.00470232,0.02794219,0.00003475137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8399777,0.004123552,0.08167215,0.001348343,0.001240184,0.001014584,0.03050989,0.0004025092,0.03971114],"genre_scores_gemma":[0.9726496,0.0004476795,0.01611052,0.0001873501,0.00009021086,0.000700661,0.003381031,0.0001001972,0.006332626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009852782,"threshold_uncertainty_score":0.03296089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08509155222697255,"score_gpt":0.3003194261962547,"score_spread":0.2152278739692821,"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."}}