{"id":"W6948562588","doi":"10.5065/d6qn6544","title":"SWL15 Bottle Data. Version 1.0","year":2016,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Coast guard; Cruise; Hydrography; Water bottle; Longitude; Colored dissolved organic matter; Bottle; Bathythermograph","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001611462,0.0008817695,0.0008356033,0.0004130732,0.0003467482,0.0002308384,0.004632741,0.0008615433,0.007198805],"category_scores_gemma":[0.001420341,0.0007884635,0.0001049418,0.001030558,0.0002208396,0.001228487,0.003274387,0.001074905,0.141016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007146,"about_ca_system_score_gemma":0.001360197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002494236,"about_ca_topic_score_gemma":0.000971816,"domain_scores_codex":[0.9945821,0.0005996645,0.0006812235,0.00175094,0.001339399,0.001046692],"domain_scores_gemma":[0.9890972,0.0003286266,0.00070931,0.008875584,0.0005270572,0.0004622538],"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":[0.00004754803,0.0000899543,0.0001185523,0.0002294958,0.0001215891,0.0001657797,0.000007865416,0.0000015815,0.001163446,0.000003404075,0.9979226,0.0001282057],"study_design_scores_gemma":[0.0007753995,0.0000517108,0.0008202617,0.000698089,0.0001858861,0.000003505399,0.00001562397,0.000008858664,0.0002112068,0.000009761571,0.9962202,0.0009994851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004003232,0.002463305,0.000002262797,0.0001184018,0.003088436,0.000391202,0.9928312,0.0005336709,0.0001712324],"genre_scores_gemma":[0.00001208214,0.0003635953,0.0003400896,0.0006675486,0.001821679,0.00001962597,0.9957426,0.0002809033,0.0007518947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1338172,"threshold_uncertainty_score":0.9994566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897475612353863,"score_gpt":0.2790900110960088,"score_spread":0.2401152549724702,"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."}}