{"id":"W6946805279","doi":"10.34943/c8e01a17-c02d-418c-ad01-530e52414859","title":"Discovery Passage Adapter Deployed 2016-07-29","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":"Adapter (computing); Software deployment; Variety (cybernetics); Channel (broadcasting); 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":[0.001030781,0.001761586,0.001132092,0.002692091,0.001158102,0.001677016,0.002287272,0.001193186,0.0147219],"category_scores_gemma":[0.004631243,0.0004525492,0.0007555838,0.00428267,0.0005113385,0.001820588,0.00180881,0.001549078,0.03847215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847103,"about_ca_system_score_gemma":0.003023794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027256,"about_ca_topic_score_gemma":0.1862732,"domain_scores_codex":[0.998629,0.0001367345,0.0001250584,0.0003595134,0.0005179531,0.0002317086],"domain_scores_gemma":[0.9980374,0.0001431008,0.0001013059,0.0005772669,0.0009081467,0.0002328058],"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":[0.00009680325,0.00003354843,0.001833255,0.0001616452,0.00002230183,0.00004540016,0.00004432804,0.0005960513,0.0002639355,0.0006277636,0.9922941,0.003980912],"study_design_scores_gemma":[0.0001116986,0.00002614403,0.008911503,0.0001316238,0.00001867696,0.0001098908,0.0002304398,0.001864919,0.0008145481,0.001155121,0.9865867,0.00003885061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00179902,0.0001316269,0.0003623371,0.0001825937,0.000140922,0.00004745704,0.9911748,0.002105962,0.004055211],"genre_scores_gemma":[0.001522428,0.00004679636,0.0004433042,0.00003665418,0.00001355221,0.00004497089,0.9962748,0.0001133994,0.001504001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8972744,"threshold_uncertainty_score":0.2042554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007478540945526518,"score_gpt":0.2028478599263839,"score_spread":0.1953693189808574,"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."}}