{"id":"W2763271008","doi":"10.24870/cjb.2017-a138","title":"Assessment of Health problems and Genetic Damage in Residents of Uppal Industrial Area","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Health and Well-being Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007225172,0.00009398081,0.0004935681,0.0006551145,0.0001409979,0.00001246937,0.0003679847,0.000344365,0.00004242982],"category_scores_gemma":[0.0002674196,0.00008891238,0.00003454091,0.0001024969,0.0004924629,0.0000426633,0.00003534181,0.0005287433,7.621679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121049,"about_ca_system_score_gemma":0.001295555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06735046,"about_ca_topic_score_gemma":0.1088552,"domain_scores_codex":[0.9985086,0.0001261905,0.0007581543,0.0001355514,0.00008932274,0.000382223],"domain_scores_gemma":[0.9983435,0.00004214742,0.001022404,0.0003369149,0.00006243186,0.0001926534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001779053,0.00003539158,0.9507379,0.00007367097,0.00006950427,0.0001944531,0.0007705052,0.000007267798,0.0002206923,0.001594087,0.001995651,0.04428308],"study_design_scores_gemma":[0.001335639,0.0007564512,0.9947559,0.0002449819,0.000009225121,0.00008867292,0.0004378868,0.00000517921,0.0001274355,0.0006992665,0.001477881,0.0000614797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844264,0.001816633,0.00005066393,0.01223783,0.0005728992,0.0001756998,0.00001687539,0.00000248472,0.0007005565],"genre_scores_gemma":[0.9992471,0.0002953267,0.0002709022,0.0001005562,0.00004254818,0.000002276645,5.195571e-7,0.000008027771,0.00003271912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04422159,"threshold_uncertainty_score":0.9388601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06856049604591823,"score_gpt":0.3561213023948875,"score_spread":0.2875608063489692,"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."}}