{"id":"W6963884086","doi":"10.18739/a2c24qn2z","title":"Canada's Three Oceans (C3O) Conductivity, Temperature, Depth (CTD) data collected from the Sir Wilfrid Laurier, Northeast Chukchi Sea, 2015","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"CTD; Bathythermograph; Profiling (computer programming); Pacific ocean; High resolution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521558,0.001778857,0.001222505,0.002989932,0.001988085,0.002434156,0.002955926,0.001386254,0.02718294],"category_scores_gemma":[0.003177828,0.0006042427,0.0009140301,0.009353323,0.0005222383,0.0008250515,0.001446935,0.001319424,0.03101298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007247364,"about_ca_system_score_gemma":0.01718017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8816581,"about_ca_topic_score_gemma":0.9314128,"domain_scores_codex":[0.9993388,0.00003488292,0.00004327897,0.0001531115,0.0002453308,0.0001846081],"domain_scores_gemma":[0.9976476,0.0001765507,0.00009644811,0.0002876593,0.001575031,0.0002167735],"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":[0.00004781257,0.00001210584,0.00237532,0.0003047134,0.00003195262,0.0000319936,0.00003966796,0.0003378774,0.000107573,0.0003358487,0.9940356,0.002339451],"study_design_scores_gemma":[0.00009309295,0.000007021856,0.01815511,0.0003541108,0.00004083505,0.00003791479,0.0002374318,0.0007216258,0.0005791648,0.0004955959,0.9792254,0.00005260584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001793849,0.00003617078,0.00002783753,0.00003068092,0.00001144142,0.000003723622,0.9990075,0.0001619387,0.000541336],"genre_scores_gemma":[0.0005394297,0.00004098735,0.0001581935,0.0000175113,0.000002229892,0.00001483989,0.9985316,0.00003524543,0.0006600213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1183419,"threshold_uncertainty_score":0.2380777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996047904473855,"score_gpt":0.2735856553774911,"score_spread":0.2336251763327525,"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."}}