{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002599988,0.001170938,0.001253105,0.0006082485,0.0005213219,0.000418393,0.001403405,0.001078229,0.001138333],"category_scores_gemma":[0.002771754,0.001298944,0.00009585607,0.00337689,0.0002210476,0.000656819,0.0007607845,0.001391392,0.01090305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513564,"about_ca_system_score_gemma":0.001261854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002712396,"about_ca_topic_score_gemma":0.00474148,"domain_scores_codex":[0.9932448,0.001619152,0.0008792713,0.001669016,0.001345998,0.00124173],"domain_scores_gemma":[0.9939026,0.0002970693,0.0007879524,0.002559022,0.001750468,0.0007028541],"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":[0.0001632104,0.000206372,0.007208238,0.0002464549,0.0001172438,0.0001055066,0.00003284024,0.000006598797,0.0002466762,0.000001588838,0.9915209,0.0001444159],"study_design_scores_gemma":[0.001078929,0.0001268759,0.2330406,0.0003744791,0.0001094985,0.000003445767,0.00001942762,0.000006679373,0.0001080851,0.000006050417,0.7641294,0.0009965639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02714135,0.006749041,0.000001605202,0.0000280985,0.001334882,0.0009346377,0.963477,0.000300942,0.00003250958],"genre_scores_gemma":[0.0001543434,0.001529144,0.0005061386,0.001177244,0.0004352811,0.00002757631,0.9956346,0.0002359779,0.0002996685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2273915,"threshold_uncertainty_score":0.9997748,"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."}}