{"id":"W6909410416","doi":"10.34943/06a90d30-cba3-41f7-9d89-25dedd8edbb8","title":"Upper Slope South Sediment Trap Deployed 2010-05-23","year":2015,"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":[0.0007880271,0.001115049,0.0006312961,0.002111682,0.0009710815,0.001109263,0.001421946,0.0005952297,0.01448772],"category_scores_gemma":[0.00215781,0.0003441223,0.0003898171,0.003796909,0.0003078719,0.0005535764,0.00110486,0.0008864719,0.02004196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002960524,"about_ca_system_score_gemma":0.005777397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4837211,"about_ca_topic_score_gemma":0.6868249,"domain_scores_codex":[0.999293,0.00005611161,0.00005185509,0.00014974,0.00030721,0.0001421086],"domain_scores_gemma":[0.9982361,0.00008903405,0.0001281017,0.0002348389,0.001119653,0.0001923299],"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":[0.0001063637,0.00002730699,0.007453322,0.0001910136,0.00002747144,0.00007512269,0.00007867777,0.0005319528,0.0004127093,0.000547362,0.9848962,0.005652509],"study_design_scores_gemma":[0.0000845374,0.00001927476,0.03976794,0.0001820967,0.00001722534,0.00005379846,0.0003137712,0.0008902961,0.0007667641,0.0003893374,0.957476,0.00003891516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001936506,0.00005637455,0.0002086637,0.00007470878,0.00003527038,0.00004013559,0.9934188,0.0004404992,0.003789118],"genre_scores_gemma":[0.00283198,0.00004736673,0.0006733084,0.00004198329,0.000007442099,0.00007913695,0.9935148,0.00008720869,0.002716782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5162789,"threshold_uncertainty_score":0.9618111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480669536106155,"score_gpt":0.2203874100936879,"score_spread":0.2055807147326263,"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."}}