{"id":"W7096096445","doi":"","title":"Distribution patterns of mercury in lakes and rivers of northeastern North America: Ecotoxicology, v","year":2005,"lang":"en","type":"article","venue":"","topic":"Medieval Architecture and Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Wetland; Spatial distribution; STREAMS; Drainage basin; Hydrology (agriculture); Total organic carbon; Surface water","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":[0.0002590209,0.0001264347,0.0001482269,0.001489507,0.0004691162,0.0004924867,0.0002666278,0.0001588401,0.0007467082],"category_scores_gemma":[0.0005948228,0.0001266121,0.0001444928,0.002452408,0.0003245423,0.0002382514,0.0004171239,0.0001321648,0.0001200789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453101,"about_ca_system_score_gemma":0.0007684416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3022735,"about_ca_topic_score_gemma":0.5560169,"domain_scores_codex":[0.9997649,0.00004653077,0.00002451581,0.00008043308,0.00005745153,0.00002615669],"domain_scores_gemma":[0.9992594,0.0001128364,0.0002620658,0.00004074132,0.0002563997,0.00006859384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001472227,0.000008318853,0.9949025,0.00001689147,0.00002714485,0.00002593776,0.0004791916,0.00005456998,0.0009575947,0.00002518022,0.0002280397,0.003259971],"study_design_scores_gemma":[4.063844e-7,0.000003013934,0.9995012,0.000002323869,0.000002907958,0.00001148511,0.0001760259,0.00005320839,0.00004048483,0.000005273355,0.0002029445,6.845984e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967993,0.0002328847,0.0001499809,0.00004793809,0.000001546658,0.00001022569,0.002085457,0.00001272733,0.0006600166],"genre_scores_gemma":[0.9957733,0.0001702979,0.0006292207,0.0000261425,0.000003416661,0.00002784296,0.002602698,0.00000404001,0.0007631454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6977265,"threshold_uncertainty_score":0.6010281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222437284719625,"score_gpt":0.2117380908188763,"score_spread":0.1995137179716801,"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."}}