{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001138129,0.0003390801,0.0006181483,0.0001916687,0.0001111751,0.00009183018,0.001054843,0.0004606203,0.00304251],"category_scores_gemma":[0.001733774,0.0003049198,0.00006670371,0.0004352004,0.00007980276,0.0002399228,0.0009053317,0.001154844,0.004099821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008338803,"about_ca_system_score_gemma":0.002669016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003392326,"about_ca_topic_score_gemma":0.0003562958,"domain_scores_codex":[0.997049,0.0002071214,0.0003282966,0.0007045919,0.001142217,0.0005688077],"domain_scores_gemma":[0.994992,0.0001039081,0.0001543603,0.003412499,0.0006533785,0.0006838341],"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":[0.0002256388,0.0001091072,0.0000859032,0.0003841303,0.000124872,0.0004478129,0.000005467313,6.982017e-7,0.0001538711,0.000004029547,0.9981852,0.0002733096],"study_design_scores_gemma":[0.00177202,0.0002303519,0.001225119,0.0002695978,0.0001985047,0.000008525653,0.00002743186,0.00008115388,0.00002811801,0.000006688222,0.9958825,0.0002700302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001868231,0.003961622,0.000003108456,0.001344675,0.0007943569,0.0004861744,0.9927598,0.00009747512,0.0003659492],"genre_scores_gemma":[0.00005657981,0.0004007003,0.0002937418,0.001427156,0.00137902,0.00001773749,0.9949061,0.00004261325,0.00147633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003560922,"threshold_uncertainty_score":0.9999403,"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."}}