{"id":"W6965602863","doi":"10.34943/1db0c804-c190-4f19-8f3b-7d9b32bab1b6","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":"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":[0.001076961,0.001853639,0.001148269,0.002693137,0.001215828,0.0017854,0.002517952,0.001334,0.01569712],"category_scores_gemma":[0.004556589,0.0004630417,0.0008307964,0.004239682,0.0005795874,0.00179786,0.001890174,0.00167363,0.04195549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894151,"about_ca_system_score_gemma":0.003268032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08744732,"about_ca_topic_score_gemma":0.1663884,"domain_scores_codex":[0.9985458,0.0001620432,0.0001223018,0.0003586404,0.0005451479,0.0002661204],"domain_scores_gemma":[0.9980509,0.0001720951,0.00009673633,0.0005795126,0.0008841722,0.0002166592],"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":[0.00008026468,0.00003045693,0.001354745,0.0001480163,0.0000202903,0.0000396544,0.00003557578,0.0005442625,0.0002016753,0.0006209104,0.9936789,0.003245414],"study_design_scores_gemma":[0.000125549,0.00002674355,0.006935022,0.0001354674,0.00001951401,0.0001068538,0.0002335978,0.002052635,0.0007724754,0.001334825,0.9882181,0.00003912511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001724021,0.0001505876,0.0004233355,0.0002208678,0.0001586538,0.00005119569,0.9908487,0.002302557,0.004120144],"genre_scores_gemma":[0.001376703,0.00004908872,0.0004405422,0.00004200707,0.0000142134,0.00005007334,0.9965922,0.0001173323,0.00131783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9125527,"threshold_uncertainty_score":0.1738766,"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."}}