{"id":"W6963565224","doi":"10.21963/13386","title":"Interspecific differences in mercury and organochlorine pesticides concentrations in Arctic and subarctic fishes.","year":2025,"lang":"en","type":"dataset","venue":"Canadian Cryospheric Information Network","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Subarctic climate; Trophic level; Biomagnification; Mercury (programming language); Pelagic zone; Benthic zone; Demersal fish; Capelin","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"],"consensus_categories":[],"category_scores_codex":[0.0004190406,0.0005179534,0.0006834046,0.0005293078,0.0002128362,0.0004818637,0.0003640013,0.0003993271,0.000620451],"category_scores_gemma":[0.0006290693,0.0005770818,0.00003636702,0.001956631,0.0003221745,0.001103553,0.0001060174,0.0008747173,0.00006747182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520096,"about_ca_system_score_gemma":0.00150822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1411991,"about_ca_topic_score_gemma":0.7514952,"domain_scores_codex":[0.9972622,0.0001445614,0.001064901,0.0003715197,0.000261476,0.0008953213],"domain_scores_gemma":[0.9981637,0.0003733004,0.0003530426,0.0004559562,0.0001635159,0.0004904771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002795531,0.00001169463,0.03029379,0.0003851705,0.00003519115,0.00002864224,0.000576259,0.0005362771,7.484696e-8,0.0004358646,0.9668675,0.0008015937],"study_design_scores_gemma":[0.0008462447,0.00005548473,0.1401027,0.001249677,0.00008850929,0.00003199248,0.001013096,0.001893279,1.845641e-7,0.0004198404,0.8535502,0.0007488334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.011337,0.002664859,0.00004894113,0.0008402183,0.001538989,0.00191242,0.9807959,0.00007367151,0.0007879853],"genre_scores_gemma":[0.1490325,0.001732406,0.0002360974,0.001224059,0.0002054532,0.0001813157,0.847298,0.00002493355,0.00006527409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6102961,"threshold_uncertainty_score":0.9996681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00832522718483317,"score_gpt":0.2054192393309879,"score_spread":0.1970940121461548,"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."}}