{"id":"W6907418194","doi":"10.18739/a28911q8t","title":"Canada's Three Oceans (C3O) Conductivity, Temperature, Depth (CTD) data collected from the Sir Wilfrid Laurier, Southern Chukchi Sea, 2012","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Social Media and Politics","field":"Social Sciences","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":[0.0005353785,0.001930388,0.001223563,0.003322488,0.002034168,0.002512538,0.002923928,0.001616644,0.022303],"category_scores_gemma":[0.003352131,0.0005834189,0.001014894,0.00946894,0.0005828553,0.0008164583,0.001588311,0.001474406,0.0284202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007292908,"about_ca_system_score_gemma":0.01517689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8447184,"about_ca_topic_score_gemma":0.9145428,"domain_scores_codex":[0.9992915,0.00004498509,0.0000471446,0.0001584166,0.0002623638,0.0001955007],"domain_scores_gemma":[0.9980959,0.000191038,0.0000873701,0.0002618171,0.001132193,0.0002316953],"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":[0.00004952675,0.00001603301,0.0021742,0.0002998988,0.00003227153,0.00003857309,0.00004723537,0.0003061592,0.0001023437,0.000379141,0.994312,0.002242499],"study_design_scores_gemma":[0.000107408,0.00000866686,0.02042512,0.0003116748,0.0000413068,0.00004469569,0.0002746463,0.0008055493,0.000511577,0.0006124983,0.9768025,0.00005438497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002133428,0.00004153563,0.00002636562,0.00004078698,0.0000113065,0.000004626955,0.9989827,0.000154481,0.0005248958],"genre_scores_gemma":[0.0004707603,0.00003799651,0.0001275367,0.00001747174,0.000002297224,0.00001710466,0.9987301,0.00002373728,0.0005730391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1552816,"threshold_uncertainty_score":0.3123921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05246981051059729,"score_gpt":0.3030653349523436,"score_spread":0.2505955244417463,"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."}}