{"id":"W2183945552","doi":"","title":"Mercury in Till, Kejimkujik National Park Area (NTS 21A/06), Nova Scotia","year":2001,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; National park; Mercury (programming language); Geography; Archaeology; Population; Environmental science; Environmental protection; Forestry; Fishery; Biology; Demography","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":[0.00009638738,0.0001223684,0.0001125877,0.0004886506,0.001019834,0.000340806,0.0002120416,0.0001144099,0.0005486348],"category_scores_gemma":[0.0001962554,0.0001118588,0.00007602762,0.0005695812,0.0003409342,0.0001119546,0.000304889,0.0001204662,0.00010355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095896,"about_ca_system_score_gemma":0.002348307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8622777,"about_ca_topic_score_gemma":0.966475,"domain_scores_codex":[0.9999362,0.000004528363,0.000003468151,0.00001792345,0.00001554239,0.00002236809],"domain_scores_gemma":[0.9998465,0.00001166059,0.00003925879,0.000005980216,0.0000575107,0.00003904141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001127983,0.00003242393,0.9884588,0.00004700516,0.00002434559,0.0009246161,0.001189339,0.0001714179,0.004654584,0.0000434771,0.0006109754,0.003730308],"study_design_scores_gemma":[0.000002245146,0.00001385192,0.9984168,0.000005126912,0.000004806822,0.00007625528,0.0008154408,0.00005123205,0.0001648137,0.000004563864,0.0004433266,0.000001517274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998621,0.00008169766,0.00003269828,0.00001673975,0.000002369162,0.00001073134,0.0005725995,0.000002304945,0.000659829],"genre_scores_gemma":[0.9966652,0.0001928038,0.0002388054,0.00003108498,0.000001826297,0.00001196641,0.0009148447,0.000001809271,0.001941732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377223,"threshold_uncertainty_score":0.2770667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987988854675126,"score_gpt":0.2885286082352218,"score_spread":0.2486487196884705,"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."}}