{"id":"W7111082864","doi":"10.34943/3943c511-0e0d-4b3a-b9a2-1f739abcb484","title":"Tsawwassen - Swartz Bay Ferry Route Oxygen Sensor Deployed 2024-12-13","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Measure (data warehouse); Software deployment; Terminal (telecommunication); Data logger","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":[0.0007081555,0.001602238,0.0009138223,0.002110209,0.00107106,0.001416449,0.002638787,0.001342749,0.01920217],"category_scores_gemma":[0.002792817,0.0004381696,0.0006025318,0.003987935,0.0004987277,0.001053448,0.001241287,0.001277083,0.02949352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003556635,"about_ca_system_score_gemma":0.005552573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4958447,"about_ca_topic_score_gemma":0.6761862,"domain_scores_codex":[0.9992856,0.00006580479,0.00004120999,0.00015925,0.0002759873,0.0001721344],"domain_scores_gemma":[0.9985519,0.0001262013,0.00007293795,0.0002519593,0.0008301441,0.000166759],"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":[0.00005025885,0.00001702486,0.001211631,0.0001641119,0.00001567333,0.00003115787,0.00002331881,0.000667205,0.0001630813,0.0003988268,0.9949964,0.002261202],"study_design_scores_gemma":[0.0001192385,0.00001622236,0.009608182,0.0001987147,0.00001926894,0.00005108266,0.0002095034,0.002271753,0.000774443,0.001138358,0.98555,0.00004322498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004796622,0.0000437283,0.00015425,0.00009295942,0.00003155389,0.00001565729,0.9969707,0.000491654,0.001719835],"genre_scores_gemma":[0.0009334272,0.00002943387,0.000364488,0.00002531924,0.000003894116,0.00002850448,0.9974867,0.00005144777,0.001076758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5041553,"threshold_uncertainty_score":0.985917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009151549409665574,"score_gpt":0.2176309276996772,"score_spread":0.2084793782900116,"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."}}