{"id":"W6890193824","doi":"10.34943/42d36d5d-8516-4d98-abfe-f9fef9c67046","title":"Prince Rupert Atlin Terminal Station Oxygen Sensor Deployed 2021-06-03","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":"Terminal (telecommunication); Optode; Oxygen; Measure (data warehouse); Oxygen sensor","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":[0.0005612516,0.001276221,0.0006815971,0.001682397,0.0006924635,0.001015076,0.001997226,0.001170859,0.01640145],"category_scores_gemma":[0.002399006,0.0003245076,0.0004190465,0.003521795,0.0002851463,0.0008163039,0.0008983185,0.0009579846,0.02681587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994191,"about_ca_system_score_gemma":0.002710897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.262735,"about_ca_topic_score_gemma":0.3777505,"domain_scores_codex":[0.9994884,0.00005081838,0.0000379655,0.0001277422,0.0001880234,0.0001070503],"domain_scores_gemma":[0.9987701,0.0001114145,0.0000711149,0.0002129387,0.0007071904,0.0001272556],"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":[0.00005072518,0.00001816792,0.001185075,0.000150777,0.00001209616,0.00003365833,0.00001944754,0.0005800895,0.0001714182,0.0003147111,0.9950737,0.002390131],"study_design_scores_gemma":[0.0001387373,0.00002380843,0.01460632,0.0001912212,0.00001869112,0.00007331316,0.00018535,0.002590804,0.0008099375,0.0009625179,0.9803597,0.00003965327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005529683,0.00004063367,0.0001062934,0.0001021667,0.00002432432,0.00001506884,0.9975682,0.0002930503,0.001297258],"genre_scores_gemma":[0.000993292,0.00003068297,0.0002660722,0.00003282054,0.000004654915,0.0000295292,0.9976625,0.00002970123,0.0009507902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.737265,"threshold_uncertainty_score":0.5224113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00857933668267198,"score_gpt":0.2238745410167965,"score_spread":0.2152952043341245,"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."}}