{"id":"W6965288843","doi":"10.34943/91698539-3f40-40d6-9e4d-f9dc3e842346","title":"Cambridge Bay Adapter Deployed 2018-07-26","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Adapter (computing); Software deployment; Digital data; Variety (cybernetics)","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":[0.000740573,0.001879017,0.001048524,0.003332223,0.001312336,0.001819867,0.002691879,0.001151029,0.02750549],"category_scores_gemma":[0.004240097,0.0004839568,0.000585425,0.006103382,0.0005337638,0.001338535,0.001717584,0.001419069,0.05263964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003400036,"about_ca_system_score_gemma":0.005270006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.445087,"about_ca_topic_score_gemma":0.6460299,"domain_scores_codex":[0.9988617,0.00007803088,0.00007204663,0.0002690678,0.0004804376,0.0002387663],"domain_scores_gemma":[0.9972486,0.0001304087,0.000111097,0.0005352967,0.001704192,0.0002703831],"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":[0.00003894356,0.00001368092,0.0009997232,0.00008519011,0.000009914949,0.00002065358,0.00002550468,0.000190735,0.00009361801,0.0003417993,0.9961901,0.00199011],"study_design_scores_gemma":[0.00006163699,0.000008715521,0.007737742,0.0001133892,0.00001075825,0.00003400715,0.0001661596,0.0005967959,0.0003609083,0.0005065184,0.9903772,0.00002612258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006224056,0.00007521408,0.000152679,0.00009840499,0.00006026326,0.00002667358,0.9947301,0.0009806731,0.003253479],"genre_scores_gemma":[0.0008997363,0.00003968424,0.0002725104,0.00002597327,0.000008594883,0.00003702549,0.9968573,0.0001049343,0.001754315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.445087,"threshold_uncertainty_score":0.8849926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009764988582929228,"score_gpt":0.210100030894132,"score_spread":0.2003350423112028,"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."}}