{"id":"W6967087126","doi":"10.5065/d62b8w34","title":"SBI: 2003 Helo Survey Nutrients and Oxygen Isotope Samples. Version 1.0","year":2009,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Transect; Sampling (signal processing); Nitrate; Nutrient; Seawater; Van de Graaff generator; Stable isotope ratio; Spring (device)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513804,0.001084419,0.000947676,0.002973344,0.0005886736,0.001012973,0.001791317,0.0004895455,0.05103362],"category_scores_gemma":[0.00189238,0.0008453469,0.0005598824,0.005148056,0.0001699387,0.0006683392,0.00119609,0.0006285204,0.04054591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009707336,"about_ca_system_score_gemma":0.001728164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03558322,"about_ca_topic_score_gemma":0.0665193,"domain_scores_codex":[0.9993594,0.00007077319,0.00009599275,0.0001501544,0.0002504313,0.00007315249],"domain_scores_gemma":[0.998534,0.00009592371,0.0002110285,0.0003050912,0.0007183789,0.0001355585],"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":[0.0006880311,0.0001623676,0.05026506,0.0006221748,0.0001206322,0.000112413,0.0003327942,0.001109449,0.006772221,0.0007058297,0.8900535,0.04905546],"study_design_scores_gemma":[0.0003476085,0.00008459575,0.2008184,0.0001102368,0.00007509034,0.0001652932,0.0002788322,0.002494414,0.006597592,0.001154959,0.7877872,0.00008582745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008689696,0.0000553564,0.00306692,0.00006691204,0.00003219124,0.0002371817,0.9764547,0.002967332,0.008429702],"genre_scores_gemma":[0.01164254,0.00007446366,0.01437441,0.0002080429,0.00001634447,0.001125075,0.9612276,0.001856396,0.009475104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05103362,"threshold_uncertainty_score":0.1707245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910360328935949,"score_gpt":0.2535017335845642,"score_spread":0.2243981302952048,"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."}}