{"id":"W2959051585","doi":"10.1594/pangaea.323919","title":"Water temperature real-time profiles from cruise 5101094 (DCQC)","year":2005,"lang":"en","type":"dataset","venue":"Figshare","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Environmental science; Meteorology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005427738,0.0004977471,0.0003922057,0.00005126914,0.0002481658,0.0001133397,0.00093096,0.0006744054,0.9869907],"category_scores_gemma":[0.00004887165,0.0003455397,0.000171107,0.0001399613,0.00003207043,0.0001768835,0.0002885566,0.0006002091,0.1878333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153116,"about_ca_system_score_gemma":0.00003157602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009084545,"about_ca_topic_score_gemma":0.0001592356,"domain_scores_codex":[0.9975933,0.00004395337,0.0003614377,0.0008405489,0.0005552266,0.0006054643],"domain_scores_gemma":[0.9985957,0.00004695056,0.00009834958,0.0009544913,0.00001460397,0.0002898839],"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":[0.000008591172,0.0001058375,0.000005393725,0.0000631514,0.000009962892,0.00009784695,0.00003026281,0.00004560259,0.00111339,1.15114e-8,0.9981839,0.000336014],"study_design_scores_gemma":[0.000143815,0.00002623731,0.0005769182,0.0007686083,0.00003058263,0.000004716623,0.000002991289,0.00002465155,0.0009686037,0.000003778041,0.9968998,0.0005493364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002559799,0.00007496138,6.164361e-9,0.00009748528,0.00006346532,0.0004091134,0.993707,0.00009733166,0.005294679],"genre_scores_gemma":[0.00001839109,0.00005769552,0.00008272402,0.0002206344,0.0004244249,0.0001850546,0.9893402,0.00004002128,0.009630833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7991574,"threshold_uncertainty_score":0.9998997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009686271286520078,"score_gpt":0.2151851747402387,"score_spread":0.2054989034537187,"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."}}