{"id":"W6909171848","doi":"10.34943/d5fb16a4-b21e-4100-90ec-50c8fad0cb40","title":"Fraser River Delta Upper Slope Profiling Sonar Deployed 2016-10-09","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Profiling (computer programming); Underwater; Delta; River delta; Digital elevation model; High resolution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007250517,0.001775297,0.0009627916,0.00325495,0.0008636589,0.001368553,0.002322646,0.0009796143,0.01200906],"category_scores_gemma":[0.003245004,0.0003906443,0.0005264033,0.005600559,0.0003896484,0.0008724719,0.00115393,0.001122954,0.02429287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003280865,"about_ca_system_score_gemma":0.004589635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4927309,"about_ca_topic_score_gemma":0.648293,"domain_scores_codex":[0.9991137,0.00006980626,0.00006465426,0.0001616302,0.0004062174,0.0001839004],"domain_scores_gemma":[0.998118,0.0001328315,0.0001144028,0.0002857163,0.001183714,0.0001654148],"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":[0.00006030188,0.00002462371,0.003752093,0.0002314669,0.00002282021,0.00005950966,0.00005512522,0.00103589,0.0001795106,0.0005186016,0.9883462,0.005713835],"study_design_scores_gemma":[0.00007142175,0.00001603708,0.01638624,0.0002940341,0.00001880535,0.00008032491,0.0003108624,0.001932056,0.0006829678,0.0007184098,0.9794398,0.00004910669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007519587,0.00006852861,0.0001497391,0.00007251633,0.00003143932,0.00001539213,0.9968935,0.0004498637,0.001566972],"genre_scores_gemma":[0.0013628,0.00004746933,0.0003653129,0.00001574741,0.000004856985,0.00002816762,0.9969981,0.00003676099,0.001140807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5072691,"threshold_uncertainty_score":0.9797258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838366902839549,"score_gpt":0.213590083181686,"score_spread":0.2052064141532905,"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."}}