{"id":"W6909041344","doi":"10.34943/831e0e27-f6f3-4bf2-84f6-7c7236a89ce5","title":"Tsawwassen - Duke Point Ferry Route Oxygen Sensor Deployed 2015-01-09","year":2015,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Terminal (telecommunication); Optode; Point (geometry); Oxygen sensor; Oxygen; Software deployment","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":[0.0005310369,0.001646959,0.0009541984,0.00231525,0.001116224,0.001390129,0.002324223,0.001124642,0.01040684],"category_scores_gemma":[0.002540676,0.0003786262,0.000564843,0.004308655,0.0005068922,0.0009778393,0.001169221,0.001213259,0.01626024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004622538,"about_ca_system_score_gemma":0.006612502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7126559,"about_ca_topic_score_gemma":0.8513123,"domain_scores_codex":[0.9992587,0.00004650778,0.00004108868,0.0001606813,0.000327218,0.0001658164],"domain_scores_gemma":[0.9985241,0.00008855126,0.0000744771,0.0002167681,0.0009260302,0.0001699684],"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":[0.00005187718,0.00001952394,0.002275976,0.0001614559,0.00002289333,0.00004131653,0.00003457532,0.0007700343,0.0001582467,0.0003900721,0.993338,0.002736093],"study_design_scores_gemma":[0.00009220825,0.00001606332,0.02072709,0.0002284018,0.00002481915,0.00007099283,0.0003288578,0.002767843,0.0009009133,0.0009435023,0.973841,0.00005836414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001118692,0.000106073,0.0001825304,0.000132511,0.00005141118,0.00001877084,0.995529,0.0006446869,0.002216365],"genre_scores_gemma":[0.001963902,0.00006071712,0.0003425524,0.00003075331,0.000006438796,0.00002398215,0.9961337,0.00005294867,0.001385027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2873441,"threshold_uncertainty_score":0.5780727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323699133088814,"score_gpt":0.2356021541126227,"score_spread":0.2223651627817346,"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."}}