{"id":"W6928084299","doi":"10.34943/98789fbb-a2f3-4a04-afe7-bd34b6a42f89","title":"Endeavour Sediment Trap Deployed 2023-06-29","year":2025,"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); Trap (plumbing); Hydrology (agriculture)","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":[0.001245325,0.001245844,0.0008710548,0.002017064,0.0009954144,0.001464274,0.002247115,0.0009822929,0.02875352],"category_scores_gemma":[0.002783489,0.0004186307,0.0005500349,0.004101016,0.000351483,0.0008476328,0.001306131,0.001102984,0.04493911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904548,"about_ca_system_score_gemma":0.003551458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2070321,"about_ca_topic_score_gemma":0.3622499,"domain_scores_codex":[0.9991199,0.0001036482,0.00007814021,0.0002199744,0.0003255265,0.0001527708],"domain_scores_gemma":[0.9983165,0.000124144,0.0001041363,0.0003209563,0.0009506911,0.0001836244],"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":[0.00007612917,0.00002225622,0.00244329,0.0001715586,0.00001618255,0.00003909905,0.00003736348,0.0003806188,0.0002304141,0.0004045741,0.9926722,0.003506375],"study_design_scores_gemma":[0.0001438422,0.00002059763,0.01217382,0.000151808,0.0000136629,0.00004132947,0.0001866568,0.0009056128,0.0005269751,0.0006964608,0.9851016,0.00003766897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004847614,0.00002577272,0.000163994,0.00005188363,0.00002181419,0.00002693986,0.9969153,0.0005251883,0.001784283],"genre_scores_gemma":[0.0008643605,0.00001759833,0.000520031,0.00003226799,0.000005313883,0.00006837221,0.9973196,0.00008471004,0.001087738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7929679,"threshold_uncertainty_score":0.4116541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006964306424993863,"score_gpt":0.2174365635394004,"score_spread":0.2104722571144066,"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."}}