{"id":"W6890206359","doi":"10.34943/58133c14-88e6-41ac-8fbc-a52da73fc5ec","title":"Barkley Canyon Mid-West Sediment Trap Deployed 2014-05-12","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; Canyon; Sediment; Benthic zone; Sampling (signal processing); Settling; 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":[0.0009216949,0.001165546,0.0008210352,0.002626069,0.001168681,0.001198252,0.002035457,0.000718076,0.01311568],"category_scores_gemma":[0.002853797,0.0004082778,0.0004384262,0.004854118,0.000363413,0.0005594685,0.001319281,0.000953891,0.01483173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004095456,"about_ca_system_score_gemma":0.008664666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6869887,"about_ca_topic_score_gemma":0.8600786,"domain_scores_codex":[0.9991856,0.00006862953,0.00006592131,0.000170106,0.0003482652,0.0001614885],"domain_scores_gemma":[0.9973557,0.0001382672,0.0001767643,0.0003481694,0.001732619,0.0002484254],"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":[0.00007680008,0.00001970866,0.005960446,0.0002401533,0.00003108839,0.00004593063,0.00006156704,0.000432782,0.0001842471,0.0004274584,0.9886639,0.00385598],"study_design_scores_gemma":[0.0001261515,0.00001782866,0.04073823,0.0002944816,0.00002494502,0.00004151412,0.0003951599,0.0009736822,0.0006078052,0.0004829513,0.9562461,0.00005106607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009797185,0.00004763666,0.0001292318,0.00006072322,0.00002279261,0.00002991857,0.9966661,0.0002711755,0.001792703],"genre_scores_gemma":[0.002022506,0.00004722009,0.0006883137,0.00003578648,0.000005627236,0.00008775271,0.9952776,0.00006366557,0.00177146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3130113,"threshold_uncertainty_score":0.6297094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236262051526418,"score_gpt":0.2213713898321405,"score_spread":0.2090087693168763,"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."}}