{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004794439,0.001058739,0.001510312,0.00013679,0.0004363577,0.0002436831,0.002596358,0.0009172307,0.003102641],"category_scores_gemma":[0.000779565,0.0006506616,0.0002054553,0.0006405021,0.000291933,0.0001855086,0.00112308,0.002350793,0.0004840151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691563,"about_ca_system_score_gemma":0.003498723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8234379,"about_ca_topic_score_gemma":0.9470236,"domain_scores_codex":[0.9951309,0.0002804973,0.0007347667,0.001896039,0.001050201,0.0009076035],"domain_scores_gemma":[0.9927593,0.0006151766,0.0004649879,0.005553732,0.0002710321,0.000335744],"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":[0.0003447261,0.0001434608,0.0005292505,0.0001672615,0.000851176,0.0001526185,0.00002194993,6.154394e-7,0.003885081,6.468078e-7,0.9936255,0.0002777351],"study_design_scores_gemma":[0.001122467,0.0001043929,0.002666788,0.0004664304,0.001386325,0.0001037079,0.00009866799,0.00003338787,0.001144189,0.000006423551,0.9919988,0.0008684184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03153764,0.009697371,2.670398e-7,0.007228306,0.002114116,0.001898823,0.9473214,0.00007004583,0.000132067],"genre_scores_gemma":[0.009539716,0.001757203,0.00004963968,0.006109851,0.003376496,0.000004883646,0.9763177,0.0001265609,0.002717971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1235857,"threshold_uncertainty_score":0.9999508,"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."}}