{"id":"W6890346697","doi":"10.34943/0d07feb3-a34d-4868-b1dc-4a0575a7b5c3","title":"Douglas Channel Adapter Deployed 2016-03-25","year":2016,"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":[0.0007366742,0.001493112,0.0008094068,0.002872611,0.001105017,0.001591777,0.002045445,0.0009794296,0.0176159],"category_scores_gemma":[0.004060234,0.000402997,0.0005467586,0.005150001,0.0004513175,0.001122138,0.001411192,0.001137092,0.03458141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002753013,"about_ca_system_score_gemma":0.004736819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3453308,"about_ca_topic_score_gemma":0.5704643,"domain_scores_codex":[0.9991263,0.00007267862,0.00005827222,0.0002057002,0.0003315972,0.0002056018],"domain_scores_gemma":[0.9980299,0.0001229962,0.00008883138,0.000407612,0.001136317,0.0002143323],"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":[0.00005338159,0.0000168855,0.001601121,0.0001072705,0.00001135381,0.0000237959,0.00003480079,0.0003781312,0.0001202697,0.0004409906,0.9947464,0.002465694],"study_design_scores_gemma":[0.00006947674,0.00001278885,0.009912235,0.0001498669,0.00001227969,0.0000494827,0.0002579368,0.0009132467,0.0004728312,0.0007250462,0.9873931,0.00003170401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009615468,0.00008208752,0.0001562908,0.0001024621,0.00005653841,0.00002140356,0.994907,0.0009119122,0.002800817],"genre_scores_gemma":[0.001271211,0.00004363041,0.0003043328,0.00002975974,0.000007396843,0.0000315593,0.9963709,0.00009682202,0.00184436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3453308,"threshold_uncertainty_score":0.6866415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009217707806397973,"score_gpt":0.2047844572948212,"score_spread":0.1955667494884232,"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."}}