{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00259434,0.0008768108,0.0009054348,0.0004079976,0.0002773096,0.0003013126,0.004669655,0.0008924429,0.00292934],"category_scores_gemma":[0.001870731,0.0009438175,0.0000865545,0.001507825,0.0001859914,0.00122556,0.003607372,0.001542636,0.1288374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649992,"about_ca_system_score_gemma":0.00246695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006996795,"about_ca_topic_score_gemma":0.001889094,"domain_scores_codex":[0.9942707,0.0006598723,0.0006824253,0.001630487,0.001785167,0.0009713132],"domain_scores_gemma":[0.9889726,0.0001798095,0.0006832707,0.008533375,0.0009663912,0.0006645211],"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":[0.00005475273,0.0001271924,0.0001100376,0.0002388393,0.0001113607,0.0001983719,0.0000191384,0.00001935577,0.0002044519,0.000001509209,0.9988715,0.00004346203],"study_design_scores_gemma":[0.0007771304,0.00006844922,0.00049329,0.000318985,0.0002390255,0.000004460037,0.0000528479,0.0000592327,0.0000548929,0.000008910697,0.9969215,0.001001248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006007365,0.004448071,6.88801e-7,0.00005850129,0.003197937,0.0004163951,0.9905394,0.0005107891,0.0002274602],"genre_scores_gemma":[0.000009592853,0.0001668647,0.0007119189,0.0005966096,0.001526339,0.00001696123,0.9962749,0.0002682206,0.0004285504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.125908,"threshold_uncertainty_score":0.9993013,"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."}}