{"id":"W6906761087","doi":"10.17882/43499","title":"Near-real-time quality-controlled radiometric profiles acquired by Bio-Argo floats","year":2016,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Irradiance; Radiometry; Attenuation; Atmospheric correction; Photosynthetically active radiation; Radiometric dating; Wavelength; Radiation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001202326,0.002365634,0.001374301,0.002497707,0.0004584182,0.001237592,0.002363316,0.001673422,0.008958477],"category_scores_gemma":[0.002683219,0.0005555752,0.001239308,0.003371302,0.0004903006,0.0009636731,0.001667717,0.001193234,0.01818709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009037568,"about_ca_system_score_gemma":0.00140205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205884,"about_ca_topic_score_gemma":0.03920424,"domain_scores_codex":[0.9988592,0.0001389528,0.0001397574,0.0003775382,0.0003294966,0.0001550544],"domain_scores_gemma":[0.9989454,0.0001434051,0.00013079,0.0003841583,0.0002874279,0.000108774],"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":[0.0004427023,0.0001987276,0.01144481,0.001460388,0.0002348996,0.0002259641,0.0001530697,0.005677814,0.002773206,0.0009999325,0.9556706,0.02071793],"study_design_scores_gemma":[0.00037229,0.00009736479,0.03998308,0.0003813097,0.00009006145,0.0002732104,0.0002739934,0.006169575,0.003730337,0.001434752,0.9470568,0.0001372119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002511174,0.0001095387,0.0006423627,0.00005279301,0.00005583966,0.00002945286,0.9945056,0.001259394,0.0008338764],"genre_scores_gemma":[0.001803472,0.00003956619,0.001017204,0.00001429561,0.000005570016,0.00005832872,0.9965294,0.0000851142,0.0004469946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0205884,"threshold_uncertainty_score":0.04093713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790039148753885,"score_gpt":0.300561397834468,"score_spread":0.2826610063469291,"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."}}