{"id":"W3130707280","doi":"10.4095/327588","title":"Ring of Fire: reconstructing long-term environmental records to support regional assessment","year":2021,"lang":"en","type":"report","venue":"","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Term (time); Geography; Ring (chemistry); Environmental science; Environmental resource management; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008617043,0.0003907512,0.0006958115,0.00005549499,0.0002150387,0.00003884858,0.0003674497,0.0002519709,0.01686744],"category_scores_gemma":[0.00003917009,0.0003448363,0.0002937841,0.0001425111,0.0003450037,0.00010376,0.001352087,0.0004059246,0.000163572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080902,"about_ca_system_score_gemma":0.0001313244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103842,"about_ca_topic_score_gemma":0.0004157764,"domain_scores_codex":[0.9962507,0.0001097418,0.0008946584,0.0008216387,0.00145896,0.0004642718],"domain_scores_gemma":[0.9987503,0.0000907127,0.0004435092,0.0005114601,0.00001377019,0.0001902843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008948709,0.0001667494,0.9213973,0.0002213591,0.0002096835,0.0001114376,0.000648537,0.00006797392,0.0007789351,0.000002626957,0.01648477,0.05990166],"study_design_scores_gemma":[0.0003330413,0.0003102974,0.8729569,0.0005109489,0.0001623349,0.0005913881,0.0012744,0.00001871063,0.001882714,0.00002603335,0.1209179,0.001015275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7762658,0.0002101103,0.0001150132,0.0002563696,0.0009114237,0.0003557827,0.00006978618,0.0000397961,0.2217759],"genre_scores_gemma":[0.8324491,0.004262241,0.01184035,0.0003707169,0.0007731168,0.00009751281,0.000551432,0.0001189223,0.1495366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044331,"threshold_uncertainty_score":0.9999003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074909054658728,"score_gpt":0.3138700263321887,"score_spread":0.206379120866316,"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."}}