{"id":"W6944231763","doi":"10.17632/m7yz5jhptm","title":"Boivin_et_al_Nanaimo Depth Profiling Table of Isotopic Data and Petrographic Results","year":2019,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petrography; Table (database); Metamorphic rock; Profiling (computer programming); Sedimentary rock","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","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.003779453,0.0008929265,0.001473658,0.0008509295,0.000145202,0.0002281828,0.01201519,0.0005953581,0.0001236135],"category_scores_gemma":[0.002175933,0.0008533225,0.00005945778,0.001267225,0.0003507744,0.001569242,0.01671982,0.001241386,0.0009365308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007136527,"about_ca_system_score_gemma":0.0006153115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260864,"about_ca_topic_score_gemma":0.004802484,"domain_scores_codex":[0.992323,0.0003794586,0.00152741,0.003366247,0.001356179,0.00104766],"domain_scores_gemma":[0.9721765,0.0004392822,0.001460475,0.02546833,0.000187516,0.0002678861],"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":[0.0002420948,0.0002375181,0.0004068667,0.001181228,0.0004204533,0.00003429246,0.000007547795,0.000002926831,0.0001158043,0.000007374564,0.9967508,0.0005930351],"study_design_scores_gemma":[0.001895093,0.000162371,0.0001223413,0.0005921047,0.0007927935,0.0000335156,0.0000613118,0.001553517,0.00008860754,0.00002587439,0.9938584,0.0008140957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001576542,0.00389086,0.0000143437,0.00004876239,0.000618152,0.001437049,0.9934092,0.00009344159,0.0003306007],"genre_scores_gemma":[0.0002467998,0.003795578,0.002260079,0.00004409345,0.0003360403,0.00002170202,0.9928021,0.00017136,0.0003222027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02210208,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126961467202202,"score_gpt":0.3477007010118126,"score_spread":0.2207392338096106,"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."}}