{"id":"W6963589420","doi":"10.18739/a2d64g","title":"Rantin Lake, Yukon 10,900 - 3,100 YrBP Multiproxy Sediment Data","year":2016,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sediment; Erosion; Hydrology (agriculture); Glacial period; Deposition (geology)","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":[0.0005397031,0.002249953,0.001279206,0.003935731,0.0009616039,0.0017981,0.002403814,0.001505951,0.01754799],"category_scores_gemma":[0.002194236,0.0009817414,0.0009735094,0.008196336,0.000510354,0.0008432854,0.001186605,0.0009880518,0.03081199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040806,"about_ca_system_score_gemma":0.005652541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4027685,"about_ca_topic_score_gemma":0.6486024,"domain_scores_codex":[0.9994425,0.00003740125,0.0000596685,0.0001721114,0.0001795573,0.0001086889],"domain_scores_gemma":[0.9986575,0.00007386678,0.0001088804,0.0003049329,0.00074627,0.0001084371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001317251,0.00004119858,0.00481509,0.0004068235,0.0001098966,0.00006024998,0.00004436077,0.001651587,0.0003657768,0.0002160161,0.987487,0.00467025],"study_design_scores_gemma":[0.0004633,0.00002608147,0.04584185,0.0003029279,0.0001269987,0.000081026,0.0002720781,0.003786031,0.001614564,0.0007491297,0.9466435,0.00009261016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008473355,0.00004801984,0.00006304371,0.00002426052,0.00001709053,0.000007359953,0.9978347,0.0005981087,0.0005600223],"genre_scores_gemma":[0.0008611269,0.00003266629,0.0002228828,0.000008601994,0.000002502044,0.00001763675,0.9979047,0.00007989594,0.0008699454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5972315,"threshold_uncertainty_score":0.8008483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05369602548871651,"score_gpt":0.3187357821789796,"score_spread":0.2650397566902631,"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."}}