{"id":"W6909013644","doi":"10.34943/a7880482-2c66-41ea-b9eb-1022381d3b0e","title":"Upper Slope South Sediment Trap Deployed 2018-07-31","year":2019,"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 trap; Sediment; Settling; Sampling (signal processing); Hydrology (agriculture); Trap (plumbing)","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":[0.0008877242,0.001233053,0.0007689287,0.002102527,0.001206107,0.001358527,0.001674461,0.0006962752,0.02545676],"category_scores_gemma":[0.002702442,0.0003721199,0.0004211006,0.00415459,0.0003504986,0.0007010301,0.001284901,0.001054693,0.04172041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250037,"about_ca_system_score_gemma":0.005561469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3744919,"about_ca_topic_score_gemma":0.573208,"domain_scores_codex":[0.9992291,0.00006967278,0.00005191387,0.0001767958,0.0003116981,0.0001607903],"domain_scores_gemma":[0.9980485,0.0001255022,0.0001150887,0.0002984226,0.001220585,0.0001918845],"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":[0.00007322134,0.0000154569,0.002717758,0.0001376092,0.00001368717,0.00004494901,0.00005207687,0.0002573387,0.0002153093,0.0004353996,0.9920179,0.004019362],"study_design_scores_gemma":[0.00006810112,0.00001127986,0.01266275,0.0001324956,0.000009965576,0.00003395268,0.0002210695,0.0005073632,0.0004603531,0.000448003,0.9854197,0.0000248796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008668481,0.00004047559,0.0001845965,0.00007831216,0.00003461882,0.00003004333,0.994715,0.0005428813,0.003507191],"genre_scores_gemma":[0.001788046,0.00003986836,0.0006808636,0.00003614276,0.000007779926,0.00008267671,0.9944091,0.0001291779,0.002826322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3744919,"threshold_uncertainty_score":0.7446243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215324068222313,"score_gpt":0.2157222552285868,"score_spread":0.2035690145463637,"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."}}