{"id":"W6908577500","doi":"10.26071/ogsl-d3d5f1fa-a4d7","title":"Sedimentary Records of Contaminant Inputs in Frobisher Bay, Nunavut (2017-2018)","year":2023,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Manitoba","funders":"","keywords":"Sediment; Bay; Sedimentary rock; Mercury (programming language); Inlet; Sediment core; Contamination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001153438,0.0009337568,0.00160262,0.001188797,0.0001321551,0.00007778077,0.001424467,0.001109763,0.0001849373],"category_scores_gemma":[0.0001971985,0.0009715729,0.0003775305,0.0007982343,0.0003637709,0.0003130564,0.0007833243,0.001444137,0.01131297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421136,"about_ca_system_score_gemma":0.0007565353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250869,"about_ca_topic_score_gemma":0.01480657,"domain_scores_codex":[0.9938569,0.0006465317,0.001839913,0.001404596,0.001303202,0.0009488484],"domain_scores_gemma":[0.9949803,0.0003799055,0.001445912,0.00272179,0.0001892804,0.0002827835],"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":[0.0002536835,0.0005144631,0.003239048,0.0006249312,0.0003102551,0.003031241,0.00009301066,0.000006362749,0.002994312,8.873679e-7,0.9888714,0.00006043366],"study_design_scores_gemma":[0.001361565,0.0002875647,0.01245645,0.001666915,0.0003330096,0.0001693086,0.00007458438,0.00001010673,0.001881202,0.00001501304,0.980799,0.0009452355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006943505,0.0007482868,5.96314e-7,0.00003496583,0.009859117,0.0009084929,0.9791,0.0002055981,0.002199389],"genre_scores_gemma":[0.0003433426,0.0002364687,0.00008835265,0.0001698473,0.0009824059,0.0002326238,0.9891186,0.0003524748,0.00847591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01112803,"threshold_uncertainty_score":0.9992735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754817446847999,"score_gpt":0.2624209928987535,"score_spread":0.2448728184302735,"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."}}