{"id":"W6965670219","doi":"10.34943/fc91c2c0-1cc3-4e6c-a0f2-b2cbdeb7c9cc","title":"Fraser River Delta Upper Slope Suspended Sediment Profiler Deployed 2023-03-16","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; River delta; Hydrology (agriculture); Delta; Sediment transport; Acoustic Doppler current profiler","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":[0.0007822381,0.001420315,0.000729413,0.002494537,0.0008704449,0.001190186,0.002048769,0.001105942,0.01638532],"category_scores_gemma":[0.002547458,0.0004045044,0.0004966115,0.005099995,0.0003392881,0.0006363622,0.0009326666,0.0009996573,0.02876582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003251366,"about_ca_system_score_gemma":0.005214011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4664248,"about_ca_topic_score_gemma":0.5743603,"domain_scores_codex":[0.9993215,0.00005825644,0.00005178076,0.000148903,0.0002770207,0.0001425503],"domain_scores_gemma":[0.9984003,0.000136261,0.0001032315,0.0002689969,0.000932753,0.0001584748],"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":[0.00007389231,0.00002498559,0.00236952,0.0002008611,0.00002008261,0.00004823126,0.00003153018,0.0007476493,0.0002199993,0.0004151732,0.9925592,0.003288931],"study_design_scores_gemma":[0.0001724169,0.00001878994,0.01734944,0.0001980959,0.00001794554,0.00005841179,0.0002148662,0.001845855,0.0008804181,0.0007340586,0.9784636,0.00004614165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003722923,0.00001734002,0.00005759527,0.00003856422,0.000009372742,0.00001020718,0.9985044,0.0002359116,0.0007543477],"genre_scores_gemma":[0.0007557072,0.00001661321,0.0002278435,0.00001447052,0.000001938738,0.00002618135,0.9983112,0.00003008869,0.0006159261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5335752,"threshold_uncertainty_score":0.9274198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097513476784906,"score_gpt":0.2256844408203625,"score_spread":0.2147093060525134,"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."}}