{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002486606,0.002185294,0.002118852,0.001043924,0.0004101752,0.0004372044,0.008366348,0.001491632,0.05150754],"category_scores_gemma":[0.0009957131,0.001787038,0.0004004113,0.000841953,0.0005583004,0.001148094,0.005117272,0.001631298,0.2272652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548909,"about_ca_system_score_gemma":0.0008681422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008759428,"about_ca_topic_score_gemma":0.002377877,"domain_scores_codex":[0.9884039,0.0008014669,0.001872406,0.003962387,0.002599498,0.002360414],"domain_scores_gemma":[0.9831416,0.0006358889,0.00132446,0.01381567,0.0002743388,0.0008080135],"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":[0.0005845638,0.0006534978,0.0001125006,0.0003857341,0.0005986529,0.0005085555,0.00002523529,0.00000238336,0.0008095526,0.000005758553,0.9951602,0.001153317],"study_design_scores_gemma":[0.004222281,0.0001651962,0.0002265076,0.001112345,0.0009340973,0.0001052716,0.00002098163,0.0001623338,0.0004203626,0.00002226898,0.9902595,0.002348845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001576267,0.002107714,0.00001117768,0.0001505505,0.002727011,0.002255415,0.9897707,0.0006746956,0.002145119],"genre_scores_gemma":[0.00007040711,0.0009173663,0.0002811811,0.0005591273,0.003082574,0.000215944,0.9882913,0.0006529269,0.005929166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1757576,"threshold_uncertainty_score":0.9998046,"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."}}