{"id":"W6929633504","doi":"10.5065/d6js9nht","title":"SWL10 Bottle data. Version 1.0","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Hydrography; Coast guard; Bathythermograph; CTD; Cruise; Water bottle; Colored dissolved organic matter; Raw data; 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":[0.001320567,0.002956148,0.001647298,0.003132213,0.0008303484,0.002057569,0.003682768,0.002159353,0.04900643],"category_scores_gemma":[0.004863331,0.0009388344,0.001767175,0.006059698,0.0004459951,0.001902348,0.002155094,0.001811109,0.09323035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248509,"about_ca_system_score_gemma":0.002613508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02920917,"about_ca_topic_score_gemma":0.04856001,"domain_scores_codex":[0.9986713,0.0001946659,0.0002228155,0.0003958054,0.0003174963,0.0001978723],"domain_scores_gemma":[0.998181,0.0004235705,0.0001643818,0.0004791528,0.0005754716,0.0001765669],"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":[0.00008549403,0.00003187302,0.0011457,0.0007937406,0.00004058366,0.00002263354,0.00002907019,0.0004189845,0.0002739234,0.0002880464,0.9938294,0.003040524],"study_design_scores_gemma":[0.0002745576,0.00003713508,0.006056877,0.0002739155,0.00004249659,0.0000620479,0.0001211032,0.001027618,0.0007968747,0.001015971,0.990234,0.00005740869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001221004,0.00002715014,0.00005947128,0.00002871327,0.00001652164,0.00001123715,0.998913,0.0005316034,0.0002901782],"genre_scores_gemma":[0.0001954707,0.00002418793,0.0002338779,0.00002946152,0.000003756332,0.00004998756,0.9991248,0.00007618276,0.0002621865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04900643,"threshold_uncertainty_score":0.1639429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05081081200134605,"score_gpt":0.3143051157040719,"score_spread":0.2634943037027259,"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."}}