{"id":"W6909197209","doi":"10.34943/27157169-8813-4356-8a28-a3304b868a24","title":"Tsawwassen - Duke Point Ferry Route Oxygen Sensor Deployed 2017-02-15","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":"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":[0.0005881607,0.0018922,0.001091529,0.002379806,0.001211843,0.001540618,0.002637257,0.00126029,0.01200543],"category_scores_gemma":[0.002598532,0.0004183189,0.0006260772,0.004598635,0.0006072573,0.001073957,0.001295626,0.001388287,0.02187826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004705006,"about_ca_system_score_gemma":0.007420315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6602096,"about_ca_topic_score_gemma":0.8216465,"domain_scores_codex":[0.9991813,0.00005738099,0.00004130507,0.0001654743,0.0003532631,0.0002011259],"domain_scores_gemma":[0.9983369,0.0001085558,0.00007750439,0.0002617475,0.001023354,0.0001918669],"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":[0.00004671691,0.00001803409,0.001550191,0.0001416635,0.00001818748,0.00003505702,0.00002852013,0.0006073301,0.0001288757,0.0003626228,0.9948642,0.002198661],"study_design_scores_gemma":[0.0001025729,0.00001545685,0.01309545,0.0002219975,0.00002201066,0.00006649686,0.0003302019,0.002500002,0.0008244478,0.001079937,0.9816886,0.00005280702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008857942,0.0000962886,0.0001752087,0.0001447857,0.0000555308,0.00001926463,0.9957507,0.0007199403,0.00215252],"genre_scores_gemma":[0.001485848,0.00005983037,0.0003189741,0.00002861211,0.000006634695,0.00002752429,0.9967542,0.00006262866,0.001255759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3397904,"threshold_uncertainty_score":0.683583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528073461350233,"score_gpt":0.2476638432403754,"score_spread":0.2323831086268731,"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."}}