{"id":"W2292955931","doi":"10.1175/jtech-d-15-0193.1","title":"A Novel Near-Real-Time Quality-Control Procedure for Radiometric Profiles Measured by Bio-Argo Floats: Protocols and Performances","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Remote sensing; Environmental science; Radiometric dating; Radiometry; Argo; Data quality; Meteorology; Irradiance; Computer science; Optics; Geology; Engineering; Geography; Metric (unit)","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":[0.007381751,0.001095039,0.0007577557,0.002021483,0.0007673985,0.001585143,0.001597426,0.0009293061,0.001891203],"category_scores_gemma":[0.01358047,0.0005700891,0.0006359672,0.001145315,0.0007904914,0.001212677,0.001794263,0.001066085,0.002408108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005743185,"about_ca_system_score_gemma":0.00119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551452,"about_ca_topic_score_gemma":0.001262074,"domain_scores_codex":[0.9922849,0.001231429,0.001012743,0.002264573,0.002810936,0.0003954153],"domain_scores_gemma":[0.9889039,0.001615282,0.00150858,0.003325901,0.00430525,0.0003411095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001737255,0.0008122929,0.0423251,0.0005082148,0.0003003619,0.0007273706,0.001344327,0.01596075,0.6288728,0.002601702,0.005804466,0.2990054],"study_design_scores_gemma":[0.0001442322,0.0009756855,0.05917682,0.0001192261,0.0001393477,0.0006592806,0.0003736372,0.1943087,0.7185341,0.001762597,0.02345548,0.0003508534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09519088,0.0001397993,0.8908657,0.00008664731,0.00009435078,0.001220698,0.001686235,0.009631088,0.00108457],"genre_scores_gemma":[0.2918262,0.0001383926,0.6945293,0.0001391029,0.00007243371,0.003840241,0.006195262,0.001467845,0.0017913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007381751,"threshold_uncertainty_score":0.0390389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009190950799715901,"score_gpt":0.2251701845040317,"score_spread":0.2159792337043158,"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."}}