{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0009955179,0.001878112,0.001749372,0.00008416554,0.0006251867,0.0002918306,0.002204642,0.001729156,0.0008108335],"category_scores_gemma":[0.00003790218,0.001893628,0.001239845,0.0008476194,0.0003198199,0.0002169727,0.0005551637,0.003286602,0.0004721406],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004796553,"about_ca_system_score_gemma":0.007141297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3959712,"about_ca_topic_score_gemma":0.467951,"domain_scores_codex":[0.9910994,0.0002922312,0.001252047,0.002036827,0.002560779,0.002758715],"domain_scores_gemma":[0.9941357,0.000277374,0.00111601,0.00310954,0.0002521389,0.001109263],"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":[0.00005567304,0.00008918201,0.0002277751,0.0002061163,0.001396066,0.00006694315,0.0001226917,0.01074675,8.270248e-7,0.000001811432,0.9870403,0.00004590146],"study_design_scores_gemma":[0.001418207,0.00007150618,0.0002345034,0.0002688757,0.0008909433,0.00001911785,0.0004633736,0.003012702,0.000002050406,0.000002908152,0.9915814,0.002034368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003043693,0.002179652,0.00003311563,0.000232392,0.005395948,0.001578953,0.9899712,0.0002413115,0.00006305409],"genre_scores_gemma":[0.0007566178,0.000588059,0.0002006479,0.006082765,0.002840397,0.00003534056,0.9863037,0.000656817,0.002535592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07197975,"threshold_uncertainty_score":0.9995668,"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."}}