{"id":"W6926070767","doi":"10.18739/a24j09x4p","title":"Canada's Three Oceans (C3O) Conductivity, Temperature, Depth (CTD) data collected from the Sir Wilfrid Laurier, Southern Chukchi Sea, 2013","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","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; Line (geometry)","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":[0.00054829,0.00195367,0.001322109,0.003024146,0.001791695,0.002408971,0.003082843,0.001758905,0.0280758],"category_scores_gemma":[0.003398338,0.0005846792,0.001010562,0.008584426,0.0005438572,0.0007817135,0.001542425,0.001448149,0.03527796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005972534,"about_ca_system_score_gemma":0.01392118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7302663,"about_ca_topic_score_gemma":0.8459598,"domain_scores_codex":[0.9993561,0.00004250702,0.00004832892,0.0001619116,0.0002261896,0.0001649052],"domain_scores_gemma":[0.9982362,0.0002127708,0.00008606071,0.0002478048,0.001013135,0.0002039898],"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":[0.00007045087,0.00001649492,0.002077129,0.000488824,0.00003854044,0.00004387459,0.00003872653,0.0003947967,0.0001496808,0.0004033043,0.9936485,0.002629591],"study_design_scores_gemma":[0.0001150219,0.000009049791,0.01265822,0.0003507876,0.00004479367,0.00004709263,0.0001647862,0.0006302148,0.0005337895,0.0006318884,0.9847681,0.00004634047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001408039,0.00004788697,0.00002923065,0.00003163736,0.000009687434,0.000003854675,0.9990865,0.0001746878,0.0004757505],"genre_scores_gemma":[0.000375679,0.0000488987,0.0001500371,0.00002096113,0.000001902208,0.00001528684,0.9988788,0.0000284396,0.0004799528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2697337,"threshold_uncertainty_score":0.5426445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207506577031256,"score_gpt":0.2517570942127997,"score_spread":0.2196820284424871,"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."}}