{"id":"W6987620160","doi":"","title":"Teneurs en métaux lourds dans les homards et les moules de la région de Belledune, Nouveau-Brunswick","year":2007,"lang":"fr","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heavy metals; Gypsum; Sewage sludge; Contamination","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":[0.0005906909,0.0006409086,0.0004254762,0.002682267,0.002859905,0.002191494,0.0009491113,0.0007288143,0.008046273],"category_scores_gemma":[0.001017083,0.0003286817,0.0004817165,0.00319462,0.001393117,0.0006253431,0.001201281,0.0008854893,0.0009896457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008856266,"about_ca_system_score_gemma":0.006185561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8421558,"about_ca_topic_score_gemma":0.9509549,"domain_scores_codex":[0.9995426,0.00009938583,0.00001928752,0.00009538555,0.0000775292,0.0001657528],"domain_scores_gemma":[0.9996822,0.00007696933,0.00005947304,0.0000164287,0.0001029462,0.00006197265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001641999,0.000193815,0.507129,0.001198237,0.0004298145,0.008858182,0.09256393,0.002752321,0.01876139,0.02842899,0.01586072,0.3221816],"study_design_scores_gemma":[0.00003882257,0.0000885372,0.7602528,0.000693106,0.0001113382,0.001103476,0.04563535,0.0004485803,0.003013992,0.001210635,0.1873526,0.00005074091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762047,0.02288241,0.002333051,0.002310943,0.0003540168,0.00008129777,0.005737605,0.00008612327,0.09000985],"genre_scores_gemma":[0.7981014,0.01188791,0.004776965,0.0003933547,0.00008344127,0.00009510056,0.001858045,0.0001151476,0.1826885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578442,"threshold_uncertainty_score":0.3175476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043640056057986,"score_gpt":0.2832457786452193,"score_spread":0.2728093780846394,"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."}}