{"id":"W6967127486","doi":"10.5065/d6vd6whk","title":"SWL13 Bottle data. Version 2.0","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Coast guard; Cruise; Hydrography; Water bottle; Longitude; Latitude; Bottle; Raw data","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":[0.001266627,0.002858798,0.001693751,0.003558943,0.0009100444,0.002498097,0.003860234,0.001893914,0.05825432],"category_scores_gemma":[0.004658063,0.001030704,0.001679244,0.007873264,0.0004674343,0.001946056,0.002438955,0.001904078,0.1079291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152385,"about_ca_system_score_gemma":0.003225621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04783551,"about_ca_topic_score_gemma":0.07818596,"domain_scores_codex":[0.9986907,0.0001735984,0.0001842016,0.0003935982,0.0003554684,0.0002024956],"domain_scores_gemma":[0.9981642,0.0003816379,0.0001649429,0.0004837024,0.0006320484,0.000173481],"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":[0.00005251357,0.00001868676,0.0008317063,0.0005852982,0.00003139936,0.00001815823,0.00003063156,0.0003514686,0.0002072735,0.0003552231,0.9951224,0.002395305],"study_design_scores_gemma":[0.0001459698,0.00001544464,0.003486078,0.0001747574,0.00002918744,0.00003588518,0.00008002314,0.0006423448,0.000582269,0.001079345,0.9936842,0.00004437318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007824133,0.00002104845,0.00007566946,0.00002090292,0.00001134627,0.000006964382,0.9988399,0.0006001744,0.0003458475],"genre_scores_gemma":[0.0001474828,0.00001984002,0.0002444794,0.00002000045,0.000002627447,0.00003755185,0.999124,0.0001343761,0.0002696518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05825432,"threshold_uncertainty_score":0.1948801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06926219499026162,"score_gpt":0.2992989499596709,"score_spread":0.2300367549694093,"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."}}