{"id":"W6909071739","doi":"10.34943/fa04d675-3df2-4dc3-810b-cb365f7ec492","title":"Barkley Canyon Upper Slope Fluorometer Turbidity Deployed 2019-05-16","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluorometer; Turbidity; Canyon; Turbidite; Seiche; Chlorophyll a; Detector","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":[0.0008563881,0.001626019,0.001010576,0.002623474,0.001289021,0.001690235,0.002561164,0.001211043,0.01886665],"category_scores_gemma":[0.003359889,0.0005080311,0.0006399686,0.005497053,0.0004642816,0.0009922307,0.001464291,0.001407586,0.03447043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358213,"about_ca_system_score_gemma":0.005959413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4781039,"about_ca_topic_score_gemma":0.6542796,"domain_scores_codex":[0.9990656,0.00008736869,0.00006837561,0.0002390589,0.0003383894,0.0002013546],"domain_scores_gemma":[0.9980197,0.000160382,0.0001111841,0.0003952216,0.001099522,0.0002139177],"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":[0.00005861399,0.00001602988,0.001804701,0.0001704484,0.0000168841,0.00002646057,0.00003102684,0.0004385487,0.0001272144,0.0003315833,0.9946939,0.002284402],"study_design_scores_gemma":[0.0001541944,0.00001854245,0.01452645,0.0002255895,0.00001806596,0.00004640405,0.0002428914,0.001323355,0.0005843889,0.0007177056,0.9820911,0.00005118753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004800991,0.00004927757,0.00008318941,0.00006683602,0.00002270497,0.00001442888,0.9974433,0.0006128725,0.001227209],"genre_scores_gemma":[0.0007293305,0.00003066645,0.0003289354,0.00002315062,0.000003942274,0.00003402054,0.9979493,0.00007096692,0.0008297309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5218961,"threshold_uncertainty_score":0.9506421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032429891756708,"score_gpt":0.2169555436420745,"score_spread":0.2066312447245074,"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."}}