{"id":"W2982121528","doi":"","title":"Gebelikte Hava Kirliliğine Maruz Kalma ve Sağlık İlişkisi","year":2019,"lang":"tr","type":"article","venue":"3.International 21.National Public Health Congress","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004114124,0.0007718921,0.0008694241,0.0006935224,0.0006591256,0.000779732,0.001751828,0.000450997,0.06268939],"category_scores_gemma":[0.0009943438,0.0008168152,0.0003019254,0.0008440014,0.0003885769,0.002452037,0.0009084418,0.0009691197,0.0209671],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004784821,"about_ca_system_score_gemma":0.001539556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457571,"about_ca_topic_score_gemma":0.000761789,"domain_scores_codex":[0.9893561,0.0003526617,0.00197938,0.001595626,0.00450062,0.002215589],"domain_scores_gemma":[0.9943544,0.0006688545,0.00134174,0.0006465073,0.0009677595,0.002020695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003084839,0.001778366,0.1065073,0.0006854207,0.0003158754,0.00005378113,0.001991868,0.0003923513,0.0002688777,0.04918212,0.7921528,0.04636281],"study_design_scores_gemma":[0.002419549,0.0003158079,0.2394824,0.0003059631,0.00001132424,0.0000811093,0.0003470912,0.009566258,0.00001930206,0.001224755,0.745569,0.0006574559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.230561,0.001519214,0.00009580652,0.5362721,0.02026112,0.003198361,0.002791551,0.0003159752,0.2049849],"genre_scores_gemma":[0.8976205,0.002399708,0.0006640884,0.05088777,0.002521738,0.0001365231,0.00200788,0.0001466972,0.04361508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6670595,"threshold_uncertainty_score":0.9994283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08431889039192908,"score_gpt":0.3593178636617637,"score_spread":0.2749989732698346,"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."}}