{"id":"W6965380259","doi":"10.34943/b4507789-ef16-46e8-9428-ee5ad8b320cb","title":"Wally Land Turbidity Meter Deployed 2010-09-14","year":2010,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Metre; Canyon; Turbidite; Turbidity current; Photometer","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":[0.0008184657,0.002051516,0.001116588,0.002450837,0.0009267406,0.001439316,0.002375013,0.001403811,0.01039991],"category_scores_gemma":[0.002901804,0.0005176828,0.0006548361,0.004491795,0.000461673,0.001331864,0.001377001,0.001408724,0.02998196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298513,"about_ca_system_score_gemma":0.003346558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1963649,"about_ca_topic_score_gemma":0.3340584,"domain_scores_codex":[0.9989128,0.0001050578,0.00008564041,0.0002881757,0.0004097573,0.0001985567],"domain_scores_gemma":[0.9986081,0.00009326949,0.00009375696,0.0003269757,0.0006942873,0.0001837033],"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":[0.00007626173,0.00003924491,0.002151507,0.0001321129,0.00002387201,0.00003873823,0.00003345762,0.0006749132,0.0002738131,0.0003599801,0.9931914,0.003004634],"study_design_scores_gemma":[0.000178259,0.000037818,0.02391409,0.0001728845,0.00002641361,0.00009611288,0.0003157753,0.003973619,0.001481103,0.0009534129,0.9687791,0.00007144316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00157572,0.00006206317,0.0001577651,0.0001105724,0.00004871626,0.0000250078,0.9955981,0.0007399929,0.001682084],"genre_scores_gemma":[0.001076361,0.00002354531,0.000300736,0.00002223384,0.000005570262,0.00003043377,0.9976871,0.0000507162,0.0008032714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1963649,"threshold_uncertainty_score":0.3904439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009045692647628532,"score_gpt":0.2078022191679068,"score_spread":0.1987565265202783,"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."}}