{"id":"W2946465722","doi":"10.33396/1728-0869-2017-9-3-14","title":"HUMAN HEALTH IN CONNECTION WITH ARCTIC POLLUTION - RESULTS AND PERSPECTIVES OF INTERNATIONAL STUDIES UNDER THE AEGIS OF AMAP","year":2017,"lang":"en","type":"article","venue":"Ekologiya Cheloveka (Human Ecology)","topic":"Human Health and Disease","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circumpolar star; Arctic; Geography; Environmental planning; Environmental health; Biobank; Climate change; Environmental protection; Environmental resource management; Environmental science; Physical geography; Medicine; Ecology; Oceanography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.000667654,0.0001283289,0.0004183417,0.0001753533,0.0004047995,0.000009832369,0.0001437831,0.00008383507,0.00003730732],"category_scores_gemma":[0.0007129821,0.00008584045,0.00004363603,0.00005311412,0.001128822,0.00009280009,0.00008512578,0.0002358819,0.000001828742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639673,"about_ca_system_score_gemma":0.0001766952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007254525,"about_ca_topic_score_gemma":0.005982602,"domain_scores_codex":[0.9988039,0.000115175,0.0004346904,0.000286679,0.0001313112,0.0002283172],"domain_scores_gemma":[0.9986264,0.0001009821,0.0006003312,0.000370856,0.0002151533,0.00008628385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003294724,0.001585055,0.933795,0.0009344764,0.0006764819,0.00003839819,0.01769927,0.0000678412,0.001406262,0.03536108,0.0036618,0.001479635],"study_design_scores_gemma":[0.003772505,0.001534296,0.9830612,0.000146328,0.00004006928,0.00001609623,0.009328203,0.000009394284,0.0000869561,0.001838033,0.00009773872,0.00006919572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676481,0.001020804,0.000003359125,0.02908679,0.000110626,0.0004565767,0.00001740649,0.00001644246,0.001639818],"genre_scores_gemma":[0.9983186,0.0004011231,0.00005909212,0.0007641097,0.0000996333,0.00002143056,0.00001411626,0.000008816382,0.0003131376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04926621,"threshold_uncertainty_score":0.4159192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07733718510622294,"score_gpt":0.3931406839952046,"score_spread":0.3158034988889817,"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."}}