{"id":"W6965568251","doi":"10.34943/d05b0825-b3aa-42bd-920b-e11303d58a61","title":"Boundary Pass Oxygen Sensor Deployed 2019-10-17","year":2021,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boundary (topology); Measure (data warehouse); Oxygen sensor; Oxygen; Software deployment; State (computer science)","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":[0.0006262019,0.001482758,0.0008153027,0.001355718,0.000731095,0.0009316959,0.002211704,0.001338296,0.011686],"category_scores_gemma":[0.001994252,0.0003282774,0.0005233595,0.002377024,0.0003547612,0.001085391,0.001075298,0.001143172,0.02252976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378164,"about_ca_system_score_gemma":0.001789067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1056512,"about_ca_topic_score_gemma":0.2038989,"domain_scores_codex":[0.999383,0.0000675265,0.00004805134,0.000168428,0.0002170839,0.0001159755],"domain_scores_gemma":[0.9991798,0.00007740888,0.00004884924,0.0001774655,0.000419717,0.00009671625],"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":[0.00007998199,0.00003451882,0.001550901,0.0002004693,0.00001954367,0.00003630987,0.00002299305,0.0009026302,0.000324098,0.0004396328,0.9931345,0.003254417],"study_design_scores_gemma":[0.0002339557,0.00004873705,0.01596289,0.0002439131,0.00002949226,0.0001210681,0.0002462692,0.004852504,0.001531039,0.001787538,0.9748793,0.00006339631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001114408,0.00007127412,0.0002231285,0.000168112,0.00007196664,0.00002440073,0.9956851,0.0007678461,0.001873759],"genre_scores_gemma":[0.00144223,0.00003018721,0.0003806221,0.00004668933,0.000006907086,0.00003638464,0.9971968,0.00004556104,0.0008146433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8943489,"threshold_uncertainty_score":0.2100723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007356920570051882,"score_gpt":0.2106688260278967,"score_spread":0.2033119054578448,"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."}}