{"id":"W2961610851","doi":"10.1594/pangaea.325222","title":"Water temperature XBT profiles from cruise 181992013 (DCQC)","year":2005,"lang":"en","type":"dataset","venue":"Figshare","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathythermograph; Cruise; Environmental science; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005854448,0.001630455,0.001094735,0.002555782,0.0007277972,0.001133225,0.002582041,0.001237082,0.036602],"category_scores_gemma":[0.00258157,0.0008436027,0.0009446209,0.008134094,0.000288294,0.0008508884,0.001114869,0.001131337,0.04257793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00294745,"about_ca_system_score_gemma":0.004817044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4980012,"about_ca_topic_score_gemma":0.5502196,"domain_scores_codex":[0.999465,0.00003734065,0.00005182397,0.000136703,0.0001912048,0.000117807],"domain_scores_gemma":[0.9983886,0.0001146406,0.0001834507,0.0002572952,0.0008851134,0.0001708541],"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":[0.00004998121,0.00001079831,0.001775888,0.0002172213,0.00002812443,0.00001321327,0.00002177973,0.0004017361,0.00008746047,0.0001457977,0.9959746,0.001273558],"study_design_scores_gemma":[0.0003536243,0.00001457657,0.04214966,0.0002104202,0.00004247652,0.00002912019,0.0001204474,0.0008400235,0.0005839043,0.0004026036,0.9552062,0.00004693067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001288603,0.00001028376,0.00001630925,0.00001553775,0.000005976281,0.000003808429,0.9994249,0.0000810887,0.0003132851],"genre_scores_gemma":[0.0004567555,0.00001476186,0.00009640606,0.000008450791,0.000002401315,0.00002292261,0.9987716,0.00003828819,0.0005883242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4980012,"threshold_uncertainty_score":0.9902051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336092138695104,"score_gpt":0.1995603989458284,"score_spread":0.1861994775588774,"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."}}