{"id":"W6892220400","doi":"10.5065/d6057czd","title":"SWL12 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":"Hydrography; Coast guard; CTD; Cruise; Water bottle; Raw data; Bottle; Bathythermograph; Colored dissolved organic matter","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":[0.001133582,0.002849387,0.001678108,0.003517453,0.0008084768,0.002183733,0.003476757,0.00202764,0.05675842],"category_scores_gemma":[0.004367457,0.000997549,0.00170762,0.007367001,0.0004123472,0.001867746,0.002246542,0.001782743,0.1077284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210683,"about_ca_system_score_gemma":0.00245346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03372731,"about_ca_topic_score_gemma":0.05313476,"domain_scores_codex":[0.9987273,0.0001797589,0.0002006007,0.0003856756,0.0003112045,0.000195419],"domain_scores_gemma":[0.9982305,0.0003805843,0.0001636129,0.0004959918,0.0005695687,0.0001597952],"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":[0.00006714634,0.00002388669,0.0009448468,0.000671891,0.0000362564,0.0000196059,0.00002872732,0.0003723786,0.0002323874,0.0002780319,0.9943492,0.002975733],"study_design_scores_gemma":[0.0001996678,0.00002327963,0.004978888,0.0001959776,0.00003491108,0.00004357389,0.0000924284,0.0007996719,0.0006226476,0.0009219269,0.9920359,0.00005107916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009971893,0.00002188872,0.00006911399,0.0000230519,0.00001174514,0.000008173664,0.9987789,0.0006710386,0.0003165062],"genre_scores_gemma":[0.0001715909,0.00001907428,0.0002459149,0.00002099238,0.000003113503,0.00004188444,0.9991152,0.0001142451,0.0002679521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05675842,"threshold_uncertainty_score":0.1898758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.070157382465175,"score_gpt":0.3001605897292135,"score_spread":0.2300032072640385,"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."}}