{"id":"W6926142678","doi":"10.18739/a20v89h3q","title":"Canada's Three Oceans (C3O) Conductivity, Temperature, Depth (CTD) data collected from the Sir Wilfrid Laurier, Southern Chukchi Sea, 2014","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Water management and technologies","field":"Agricultural and Biological 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; Beam (structure)","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":[0.0005733015,0.001897187,0.001308789,0.003261521,0.002010923,0.002487395,0.003233073,0.001593285,0.02504378],"category_scores_gemma":[0.003314823,0.0006143405,0.0009977401,0.009682203,0.0005574543,0.000859889,0.001549561,0.001490215,0.02997397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007365875,"about_ca_system_score_gemma":0.0171686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8545485,"about_ca_topic_score_gemma":0.9180331,"domain_scores_codex":[0.999272,0.00004275869,0.00004943156,0.0001757618,0.0002650243,0.0001949856],"domain_scores_gemma":[0.9977848,0.0001954547,0.00009376465,0.0002748165,0.001417314,0.0002338395],"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":[0.00005550748,0.0000160942,0.002223519,0.0003602779,0.00003708532,0.00003611566,0.00004177289,0.000354467,0.0001116998,0.0003879186,0.9940861,0.002289331],"study_design_scores_gemma":[0.0001143203,0.000008180264,0.01574289,0.0003567999,0.00004359465,0.00004076658,0.0002315481,0.0007546225,0.0005090688,0.0005801312,0.9815649,0.00005315971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000172253,0.00003816863,0.00002804951,0.00003116225,0.00001047574,0.000004287947,0.9990683,0.0001634881,0.0004838008],"genre_scores_gemma":[0.0004553293,0.00003880153,0.0001544934,0.00001740767,0.000001890427,0.00001633603,0.9987565,0.00003060373,0.0005285739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1454515,"threshold_uncertainty_score":0.2926161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739704604283971,"score_gpt":0.219297916723934,"score_spread":0.1819008706810943,"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."}}