{"id":"W6925184360","doi":"10.1594/pangaea.356829","title":"Water temperature real-time profiles from cruise CG268396 (SCQC)","year":2006,"lang":"en","type":"dataset","venue":"Figshare","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Temperature measurement; Sea surface temperature; Ectotherm","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":[0.0007394006,0.001940731,0.001318241,0.002482756,0.0006445579,0.001144735,0.003146159,0.00168156,0.03836734],"category_scores_gemma":[0.003259199,0.0008028177,0.001145044,0.0080606,0.0002875759,0.00081653,0.001178965,0.001269823,0.05152028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243917,"about_ca_system_score_gemma":0.003716779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3351043,"about_ca_topic_score_gemma":0.410026,"domain_scores_codex":[0.9994283,0.00005247234,0.00005682743,0.0001546035,0.0001924599,0.0001153417],"domain_scores_gemma":[0.9981123,0.0001818869,0.0002033083,0.0003626398,0.0009426519,0.0001972491],"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":[0.00007641323,0.00001326317,0.001819204,0.0003497545,0.00004206816,0.00001723274,0.00002168331,0.0007620401,0.0001234077,0.0001221059,0.9949832,0.001669559],"study_design_scores_gemma":[0.0005134152,0.00002518548,0.03847973,0.0002828971,0.00005954945,0.00003512958,0.0001147641,0.00150549,0.0006817498,0.0005327356,0.9577029,0.00006653581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000114638,0.00001336615,0.00001985429,0.00001542085,0.00000559557,0.000003480318,0.9994748,0.000117953,0.0002347792],"genre_scores_gemma":[0.0004200476,0.00001450008,0.000107913,0.00000677933,0.000002255257,0.00002311729,0.9989974,0.00003527223,0.000392786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3351043,"threshold_uncertainty_score":0.6663076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095803112887876,"score_gpt":0.2235402910546617,"score_spread":0.2025822599257829,"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."}}