{"id":"W2959626413","doi":"10.1594/pangaea.321802","title":"Water temperature XBT profiles from cruise 18OD96001 (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; Meteorology; Geography; 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":[0.0005589015,0.001618425,0.001044392,0.002492259,0.0006577731,0.001090593,0.002493263,0.001105875,0.04559061],"category_scores_gemma":[0.002535518,0.0008529977,0.0008659698,0.007947767,0.0002596608,0.0008552428,0.001082914,0.001131777,0.04958384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002654395,"about_ca_system_score_gemma":0.00427829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.45344,"about_ca_topic_score_gemma":0.5074766,"domain_scores_codex":[0.9994979,0.0000346277,0.00004892532,0.0001336649,0.0001781921,0.0001066225],"domain_scores_gemma":[0.9983998,0.0001195183,0.0001911884,0.0002619758,0.0008582305,0.0001693094],"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":[0.00004657496,0.000009820753,0.001727829,0.0002316225,0.00002493463,0.00001175379,0.00002140354,0.0003501297,0.00008180352,0.0001458934,0.996048,0.001300175],"study_design_scores_gemma":[0.0003059803,0.00001270295,0.03501301,0.000194179,0.00003446007,0.00002511992,0.0001015461,0.0006228723,0.0005013208,0.0003482336,0.9628008,0.00003982643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001097156,0.000008462973,0.00001562464,0.00001305793,0.000004909638,0.000003792811,0.999441,0.00007606862,0.000327351],"genre_scores_gemma":[0.000407698,0.00001430227,0.0001001743,0.000007833218,0.000002048703,0.00002538004,0.9987431,0.00004068432,0.0006588433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.45344,"threshold_uncertainty_score":0.9016014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404117019292788,"score_gpt":0.202705331674567,"score_spread":0.1886641614816391,"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."}}