{"id":"W6927940108","doi":"10.34943/d4209000-0de5-4770-942b-cf5b4afc7a1a","title":"Discovery Passage Adapter Deployed 2017-01-26","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethernet; Adapter (computing); Software deployment; Variety (cybernetics); Channel (broadcasting)","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":[0.001117824,0.001759476,0.001026131,0.00329349,0.001138753,0.001716022,0.002417176,0.001320358,0.01526093],"category_scores_gemma":[0.00516883,0.0004405809,0.0007321788,0.005180841,0.0005413136,0.001568914,0.001732955,0.001548795,0.03959488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378533,"about_ca_system_score_gemma":0.004142381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1311727,"about_ca_topic_score_gemma":0.2296133,"domain_scores_codex":[0.9984724,0.0001673877,0.0001304919,0.0003530956,0.0005750383,0.0003015861],"domain_scores_gemma":[0.9971789,0.0002469171,0.000154999,0.0006762011,0.001453945,0.000289026],"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":[0.00005906906,0.00002371816,0.001488283,0.00013363,0.00001495655,0.00003204224,0.00003054292,0.0003782246,0.0001250545,0.0005725938,0.9944934,0.002648561],"study_design_scores_gemma":[0.00008769205,0.00001871571,0.00724987,0.0001494586,0.00001494688,0.00007415278,0.0002342374,0.001063285,0.0005228026,0.0009626994,0.9895903,0.00003172956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009182507,0.00009302565,0.00020288,0.0001421112,0.00008663737,0.00003234739,0.9951648,0.0007992784,0.002560759],"genre_scores_gemma":[0.001151131,0.00004748266,0.0002974126,0.00003381832,0.00001234435,0.00005054194,0.9971117,0.00006610106,0.001229552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8688273,"threshold_uncertainty_score":0.2608183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443444970238658,"score_gpt":0.2389937427149737,"score_spread":0.2245592930125871,"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."}}