{"id":"W4364319524","doi":"10.2139/ssrn.4415105","title":"Tracking Pollution from Fur Farms Using Forensic Paleolimnology","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; University of Ottawa","funders":"","keywords":"Paleolimnology; Pollution; Environmental science; Tracking (education); Geology; Geography; Oceanography; Climate change; Ecology; Biology; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003145474,0.0003394719,0.000261138,0.003330111,0.0006109652,0.0009360879,0.0003964847,0.0009288838,0.002739954],"category_scores_gemma":[0.0007424792,0.0002075884,0.0002095551,0.0017549,0.000354801,0.0007377783,0.001148484,0.0003485636,0.001406198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782993,"about_ca_system_score_gemma":0.0002641802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250161,"about_ca_topic_score_gemma":0.007777081,"domain_scores_codex":[0.9996511,0.00003048449,0.00001376255,0.00008419462,0.0001631162,0.0000573783],"domain_scores_gemma":[0.9995096,0.00008070056,0.0001128309,0.00008065062,0.0001825427,0.00003372851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002360426,0.0001260743,0.66579,0.0002197064,0.0001538613,0.001607067,0.001169815,0.006890601,0.08033281,0.001594036,0.003473512,0.2384065],"study_design_scores_gemma":[0.00001967673,0.0002387302,0.8748224,0.0003137876,0.0001487138,0.001709234,0.003377686,0.05268927,0.04026774,0.004546528,0.02181386,0.00005239538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475706,0.0007780854,0.02806066,0.0001788969,0.00006102928,0.00005711821,0.002340185,0.0003060983,0.02064746],"genre_scores_gemma":[0.9825075,0.0005215597,0.01143864,0.0000451698,0.00003640131,0.00002132802,0.001103697,0.00004996333,0.004275698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003330111,"threshold_uncertainty_score":0.009166121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578939287782707,"score_gpt":0.2368649456532727,"score_spread":0.2110755527754456,"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."}}