{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003917894,0.00006763393,0.0001791435,0.00005905534,0.0000247896,0.000001973823,0.000059993,0.00001872858,0.0006715624],"category_scores_gemma":[0.000008695809,0.00005101473,0.00002740214,0.00001724552,0.0004064203,0.00004526063,0.00003620637,0.00006434428,0.000004769383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005349933,"about_ca_system_score_gemma":0.000008438109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005737075,"about_ca_topic_score_gemma":0.1102833,"domain_scores_codex":[0.9994958,0.00003547618,0.0001937046,0.00009889976,0.00005739001,0.0001187101],"domain_scores_gemma":[0.9997494,0.00005784121,0.00007019567,0.0000692851,0.00002472448,0.00002857903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001128467,0.0002708849,0.7493395,0.0001515118,0.0000596663,0.000006598192,0.08465897,0.0001201281,0.0004251375,0.02914075,0.0001344969,0.1355795],"study_design_scores_gemma":[0.002860477,0.001955393,0.6670018,0.0001358004,0.0001078371,0.00001744566,0.01725326,0.001669373,0.003682837,0.002048569,0.3025943,0.0006728789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966753,0.00005517427,0.0001535166,0.0005937669,0.00004517936,0.00008488369,0.0001547747,0.000007862849,0.00222954],"genre_scores_gemma":[0.9993465,0.00004424596,0.00003765049,0.0001340832,0.00007424899,0.000003791344,0.00005296732,0.000003186248,0.000303357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3024598,"threshold_uncertainty_score":0.9059517,"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."}}