{"id":"W763493398","doi":"10.71781/20710","title":"Relation entre les espèces de mercure, le sélénium et les thiols dans les eaux de surface du parc national du Mont-Tremblant (Laurentides, Québec)","year":2012,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Chemistry; Art","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001563604,0.0005722379,0.0005061157,0.00007826397,0.001359516,0.000361086,0.0006930458,0.0005161951,0.009952337],"category_scores_gemma":[0.0003819265,0.000555619,0.0001979367,0.0002245428,0.0003583197,0.00121666,0.0002463008,0.0005228217,0.0008711094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007973766,"about_ca_system_score_gemma":0.0008090984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2272369,"about_ca_topic_score_gemma":0.4386012,"domain_scores_codex":[0.9965481,0.0006321904,0.0007011302,0.0006419889,0.0007979024,0.0006786956],"domain_scores_gemma":[0.9982238,0.0004510232,0.000654222,0.0002470042,0.0001230833,0.0003008906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001407832,0.0004349416,0.8056906,0.00006361043,0.0002476584,0.000009835989,0.070315,0.005044193,0.08268103,0.001164644,0.008258183,0.02594952],"study_design_scores_gemma":[0.000575511,0.00005527667,0.8404976,0.0002873398,0.0002414002,0.00003346036,0.02857046,0.0009796092,0.02745539,0.0001680583,0.1004652,0.0006707752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290159,0.002782265,0.0006155542,0.003184901,0.0003794084,0.0007499807,0.0002363823,0.00001049023,0.06302511],"genre_scores_gemma":[0.9677243,0.001566272,0.003772835,0.0000633042,0.0001862167,0.00005927156,0.001389522,0.00005457941,0.02518368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2113643,"threshold_uncertainty_score":0.9999406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683257958732684,"score_gpt":0.3002876075493121,"score_spread":0.2634550279619852,"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."}}