{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813352,0.001262266,0.0009554009,0.0009827946,0.001568968,0.004382135,0.0009997655,0.002137061,0.02693194],"category_scores_gemma":[0.005948198,0.0005843471,0.001167569,0.0007559274,0.001128496,0.002363454,0.002560151,0.001858163,0.007942025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002241059,"about_ca_system_score_gemma":0.002805383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719446,"about_ca_topic_score_gemma":0.0162482,"domain_scores_codex":[0.9986435,0.0002238757,0.0001024598,0.0003146258,0.0004894718,0.0002260197],"domain_scores_gemma":[0.9979664,0.0004805468,0.0003874232,0.0001745505,0.0008206256,0.000170453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001571717,0.0003880124,0.1701327,0.002111436,0.0007159695,0.002358522,0.004226617,0.02177297,0.02493683,0.06016658,0.05679086,0.654828],"study_design_scores_gemma":[0.0001787549,0.001958509,0.2675395,0.002886237,0.001093646,0.004525836,0.01027369,0.07016517,0.02921087,0.07085363,0.5405841,0.0007300467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4529822,0.03015337,0.2502383,0.0238208,0.004501956,0.0005076964,0.007651777,0.00453216,0.2256117],"genre_scores_gemma":[0.8951635,0.008570958,0.03253867,0.001651113,0.0004449335,0.0002128781,0.002860744,0.0004169645,0.05814026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02693194,"threshold_uncertainty_score":0.09009629,"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."}}