{"id":"W2747267044","doi":"10.3897/tdwgproceedings.1.20432","title":"The developing Canadian Integrated Ocean Observing System (CIOOS)","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ocean observations; General partnership; Government (linguistics); Ocean science; Environmental resource management; Business; Marine conservation; Variety (cybernetics); Oceanography; Geography; Environmental science; Computer science; Meteorology; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001497434,0.000079135,0.0000593086,0.0000145441,0.007003827,0.0007626224,0.0006469937,0.00003480728,0.00003175632],"category_scores_gemma":[0.0001888909,0.0000562337,0.00001442272,0.0001359503,0.001286023,0.00285576,0.00040559,0.00006565056,0.0001005704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002548827,"about_ca_system_score_gemma":0.0002921712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0299663,"about_ca_topic_score_gemma":0.007097356,"domain_scores_codex":[0.9986332,0.000008368365,0.0001162298,0.0001091654,0.0008626785,0.0002703225],"domain_scores_gemma":[0.9993747,0.000008228438,0.0001113157,0.0002462698,0.00007700509,0.0001824672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004441402,0.00000524622,0.8384656,0.00002645659,0.00001598217,0.000008961479,0.006952984,0.001724497,0.00003148647,0.002817057,0.02110432,0.128803],"study_design_scores_gemma":[0.0002295874,0.00002414204,0.4777798,0.00001545655,0.000007009406,0.000009889905,0.01328461,0.01208633,0.0000307818,0.0000145395,0.4963103,0.0002075527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972848,0.000006164445,0.001740681,0.001254384,0.0002562602,0.0001451896,0.000109451,0.00002934944,0.02361054],"genre_scores_gemma":[0.9987404,0.00005397107,0.0008690715,0.0002958745,0.000003293084,5.412791e-7,0.00000263894,6.761163e-7,0.0000335461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752059,"threshold_uncertainty_score":0.9942889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119672616130577,"score_gpt":0.206393342430011,"score_spread":0.1951966162687053,"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."}}