{"id":"W6965599598","doi":"10.34943/227fd1a1-b708-4925-8a7e-7872b41f31af","title":"Upper Slope South Sediment Trap Deployed 2016-05-11","year":2018,"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":[0.0008187664,0.001306259,0.0007436724,0.002127961,0.001099983,0.001302608,0.001684049,0.0006390946,0.01827995],"category_scores_gemma":[0.0025427,0.0003411225,0.0004174248,0.003804366,0.0003531515,0.0006930789,0.001288693,0.001071156,0.02942204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625931,"about_ca_system_score_gemma":0.005646391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3978669,"about_ca_topic_score_gemma":0.6073058,"domain_scores_codex":[0.999228,0.00006404469,0.00005170338,0.0001629669,0.0003294295,0.0001637655],"domain_scores_gemma":[0.9981093,0.0001002018,0.0001180102,0.0002887615,0.001178873,0.0002048163],"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":[0.00008286646,0.00002065242,0.00450092,0.0001506991,0.00001761235,0.00005926679,0.00006203228,0.0003817929,0.0002404136,0.0005154273,0.9893993,0.004569058],"study_design_scores_gemma":[0.00007158456,0.00001302327,0.01855548,0.0001524956,0.00001201723,0.000043356,0.0002700064,0.0006770297,0.0005437742,0.0004724444,0.9791601,0.00002859476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001323319,0.00005037082,0.0002059461,0.00008657123,0.00004361901,0.00003482503,0.9939253,0.0005987411,0.003731359],"genre_scores_gemma":[0.002307409,0.00004737018,0.0006391979,0.00003374573,0.000009128468,0.00007965293,0.9939712,0.0001161269,0.0027961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6021331,"threshold_uncertainty_score":0.7911021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008708710456312564,"score_gpt":0.2106883815376764,"score_spread":0.2019796710813639,"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."}}