{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002927142,0.0006777277,0.0006713021,0.00003196416,0.0005469579,0.0004626189,0.005095055,0.0005771236,0.001712121],"category_scores_gemma":[0.0001490086,0.0002367316,0.0001217748,0.0005346244,0.0002366387,0.0002168105,0.002377731,0.0009466146,0.0003678555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000782037,"about_ca_system_score_gemma":0.0001719278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7633201,"about_ca_topic_score_gemma":0.9853842,"domain_scores_codex":[0.996724,0.0001747128,0.0004114648,0.001269941,0.00070301,0.0007168856],"domain_scores_gemma":[0.9975684,0.0005402868,0.000305887,0.001410284,0.00007108371,0.0001040678],"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":[0.00003257367,0.00005381707,0.005181598,0.00001543797,0.0002063032,0.00003581117,0.000006721023,8.101885e-7,0.0004394322,0.000003865889,0.9930381,0.0009855573],"study_design_scores_gemma":[0.0002177723,0.00008428973,0.03180233,0.00005914605,0.0001969028,0.000004076494,0.0002612952,0.000019601,0.00008825705,0.0001862947,0.9664403,0.0006397103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1205688,0.00162911,1.300086e-7,0.002893268,0.0007927987,0.0007958459,0.8729766,0.0001598519,0.0001835845],"genre_scores_gemma":[0.02605177,0.0006600842,0.000009883273,0.001221995,0.0008830899,0.00002519624,0.9702062,0.000007173209,0.0009346216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.222064,"threshold_uncertainty_score":0.9992005,"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."}}