{"id":"W7128516150","doi":"10.26108/hq7j-wv08","title":"A geographical comparison of mercury in seabirds in the eastern Canadian Arctic","year":2014,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Arctic; Mercury (programming language); Arctic ecology; The arctic; Population; Seabird","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":[0.0003277886,0.0002006141,0.000181853,0.002407606,0.001994361,0.0008465755,0.0004347358,0.0002305107,0.0008977588],"category_scores_gemma":[0.000580353,0.0001218706,0.000288307,0.004202244,0.0006003776,0.0002870554,0.0005073202,0.0002026033,0.00009823926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005448823,"about_ca_system_score_gemma":0.004498615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.965738,"about_ca_topic_score_gemma":0.9871745,"domain_scores_codex":[0.9997452,0.00002393784,0.00001306958,0.00005515396,0.00006983333,0.0000927807],"domain_scores_gemma":[0.9992945,0.00004677509,0.0001083307,0.00001647491,0.0004143342,0.0001195942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002078932,0.00002344947,0.9871259,0.00004649278,0.0001171721,0.0001757267,0.002340656,0.000216785,0.001952222,0.0001790296,0.0003051664,0.007309592],"study_design_scores_gemma":[6.467385e-7,0.000006241958,0.9985439,0.00000420443,0.000008776761,0.00002422554,0.001015814,0.00002106361,0.00004554311,0.000005136022,0.0003228833,0.000001594857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977586,0.0003442843,0.00002915174,0.00003373038,0.000002915353,0.000003416819,0.0004451424,0.000001961293,0.001380703],"genre_scores_gemma":[0.998599,0.0003596181,0.00006971117,0.00001638736,0.000002203864,0.000003253359,0.0004274206,0.00000175245,0.0005205249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.034262,"threshold_uncertainty_score":0.06892753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170924114145965,"score_gpt":0.281451547633607,"score_spread":0.2597423064921473,"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."}}