{"id":"W2052920120","doi":"10.1289/ehp.02110285","title":"Cancer in wildlife, a case study: beluga from the St. Lawrence estuary, Québec, Canada.","year":2002,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":271,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Beluga Whale; Beluga; Population; Cancer; Biology; Estuary; Zoology; Ecology; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002550969,0.0008627117,0.0002343122,0.002056509,0.006998683,0.001087537,0.00104553,0.001754979,0.001963801],"category_scores_gemma":[0.0009892385,0.0005328534,0.0003314723,0.002684881,0.001718784,0.0006189812,0.0007979319,0.001289438,0.0003607384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124487,"about_ca_system_score_gemma":0.008288015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9199343,"about_ca_topic_score_gemma":0.9781728,"domain_scores_codex":[0.9996044,0.00002808992,0.00002709777,0.00007818771,0.00008805968,0.0001742471],"domain_scores_gemma":[0.99941,0.00004891515,0.0001204075,0.00002214332,0.0001570205,0.0002413962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000639288,0.0002449164,0.672221,0.000212097,0.00006247356,0.3000766,0.01150772,0.0002020306,0.001440238,0.0004768451,0.004841292,0.008650936],"study_design_scores_gemma":[0.00001734896,0.0002310295,0.7307201,0.0002258355,0.00007826825,0.2366571,0.02143901,0.0004927646,0.0002305862,0.0001910768,0.009656253,0.00006069817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878345,0.002797512,0.0002973305,0.001365877,0.00008736824,0.0001642234,0.0006563748,0.00002412233,0.006772721],"genre_scores_gemma":[0.9939691,0.001965985,0.0004734719,0.0008373678,0.00005240386,0.0000311668,0.0003273019,0.00001119963,0.002332102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08006567,"threshold_uncertainty_score":0.1610743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141852185429322,"score_gpt":0.2954673719825957,"score_spread":0.2740488501283024,"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."}}