{"id":"W6892238604","doi":"10.5065/d6qr4v54","title":"SWL14 Bottle data. Version 2.0","year":2015,"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":"Coast guard; Cruise; Hydrography; Water bottle; Longitude; Latitude; Bottle","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":[0.001223196,0.002768599,0.00158733,0.003515012,0.0009421307,0.00228616,0.003874872,0.001828822,0.04839041],"category_scores_gemma":[0.004279462,0.001008768,0.001629146,0.00730582,0.0004456981,0.001844362,0.002249286,0.001768327,0.09692279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594107,"about_ca_system_score_gemma":0.003477727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06506569,"about_ca_topic_score_gemma":0.1067521,"domain_scores_codex":[0.9986965,0.0001647646,0.0001732725,0.0003799384,0.0003736934,0.0002118711],"domain_scores_gemma":[0.9981516,0.0003306222,0.0001607508,0.0004694848,0.000712837,0.0001746526],"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":[0.00005070519,0.00002019155,0.001014082,0.0005248831,0.00003041724,0.00001660619,0.00003486177,0.0003474929,0.0002232859,0.0003414875,0.9948286,0.002567372],"study_design_scores_gemma":[0.0001227268,0.00001505795,0.004192566,0.0001681747,0.00002739377,0.00003288983,0.00008734979,0.0006555659,0.0006263593,0.0009021045,0.9931237,0.00004606436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000979811,0.00002183572,0.00007637044,0.00002052153,0.00001156015,0.000007990348,0.9987999,0.0005963324,0.000367566],"genre_scores_gemma":[0.0001644202,0.00001911094,0.0002530772,0.00001887687,0.00000262888,0.00003822459,0.9990857,0.0001290794,0.0002888235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06506569,"threshold_uncertainty_score":0.1618821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06884092413141804,"score_gpt":0.2994485622792891,"score_spread":0.230607638147871,"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."}}