{"id":"W6965422600","doi":"10.34943/1c3fe0ac-751b-44d8-a945-434710965b82","title":"Douglas Channel Adapter Deployed 2023-05-31","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Adapter (computing); Software deployment; Variety (cybernetics); Principal (computer security); Digital data","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":[0.0007123672,0.001266933,0.0006987596,0.001962455,0.001125847,0.001452746,0.002050685,0.001022548,0.02079083],"category_scores_gemma":[0.003206835,0.0003933886,0.0005342799,0.004160967,0.0004401942,0.0009790149,0.001215209,0.001183475,0.03604155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536578,"about_ca_system_score_gemma":0.004485707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3581128,"about_ca_topic_score_gemma":0.5663642,"domain_scores_codex":[0.9992635,0.00006563924,0.00004272368,0.0001840041,0.0002547358,0.000189436],"domain_scores_gemma":[0.9985083,0.00011997,0.00006107891,0.0003176846,0.0008156673,0.0001772039],"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":[0.00005162231,0.00001456821,0.001074319,0.00009476233,0.000009610982,0.00002238178,0.00002932724,0.0004230299,0.0001391371,0.0004476505,0.9956841,0.00200953],"study_design_scores_gemma":[0.00009089177,0.00001293887,0.008724137,0.0001286899,0.00001154715,0.00004767748,0.0002377676,0.001230988,0.0005417473,0.0009117631,0.9880297,0.000032145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000688065,0.00005125602,0.0001580532,0.00009972967,0.00004289287,0.00001807395,0.9957783,0.0007917642,0.002371843],"genre_scores_gemma":[0.001088028,0.00002851754,0.0003363838,0.00003536905,0.00000508473,0.00002897906,0.9971445,0.00009458571,0.001238515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3581128,"threshold_uncertainty_score":0.7120566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396690634183185,"score_gpt":0.2182588141955306,"score_spread":0.2042919078536988,"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."}}