{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096724,0.003491626,0.001863035,0.003468638,0.0008435285,0.002319992,0.003982682,0.001996391,0.04328566],"category_scores_gemma":[0.003940223,0.0009734709,0.001901156,0.007301313,0.0004681261,0.002130978,0.0023804,0.001969201,0.09966639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321615,"about_ca_system_score_gemma":0.002900306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03764027,"about_ca_topic_score_gemma":0.05810296,"domain_scores_codex":[0.9986466,0.0001748347,0.0002096386,0.0004149978,0.0003511514,0.0002027605],"domain_scores_gemma":[0.9985102,0.0002741291,0.0001432139,0.0004303783,0.0004860878,0.0001560295],"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":[0.00006414978,0.00002732871,0.0009075651,0.0006984499,0.00004068902,0.000021639,0.00003108755,0.0004625136,0.0002685087,0.0002952215,0.994252,0.002931017],"study_design_scores_gemma":[0.0002113145,0.00002679795,0.004292667,0.0002166422,0.00003881478,0.0000531478,0.00009619832,0.0009290971,0.0007354531,0.001100877,0.9922447,0.0000544269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001189671,0.00003422797,0.00006553949,0.00002505166,0.0000158824,0.000008961591,0.9987312,0.0006854173,0.0003148104],"genre_scores_gemma":[0.0001548837,0.00002395832,0.0001978387,0.00001866619,0.000002930798,0.00003455642,0.9992655,0.00008567947,0.0002159879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04328566,"threshold_uncertainty_score":0.144805,"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."}}