{"id":"W7126065169","doi":"10.34943/97ee850e-6beb-4700-983e-e4e342b99599","title":"Tsawwassen - Swartz Bay Ferry Route Pump and Valve Control System Deployed 2020-06-16","year":2020,"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; Software deployment; Control (management); Control system; Terminal (telecommunication)","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":[0.0006479007,0.001369956,0.0007044875,0.002297783,0.001083168,0.001709642,0.002075733,0.0009839976,0.01893651],"category_scores_gemma":[0.003642535,0.0003999082,0.0004973785,0.005240631,0.0004998773,0.001125643,0.001257357,0.00116684,0.02545458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005766733,"about_ca_system_score_gemma":0.009188435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7783198,"about_ca_topic_score_gemma":0.8737973,"domain_scores_codex":[0.9992354,0.00005513366,0.00004081135,0.0001680905,0.0003207775,0.0001797468],"domain_scores_gemma":[0.9979097,0.0001536724,0.0001117981,0.0002966905,0.001270693,0.0002572826],"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":[0.00004824616,0.00001336646,0.002073599,0.0001424162,0.0000145157,0.00002448728,0.00003814322,0.0005779755,0.0001104461,0.0007290499,0.9936464,0.002581386],"study_design_scores_gemma":[0.00006080304,0.0000109634,0.01242737,0.0001798711,0.00001438335,0.00003507615,0.0002962689,0.001628576,0.0004751036,0.001008947,0.9838243,0.00003842106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005060562,0.00004590339,0.0001327857,0.00009684738,0.00002233967,0.00001137206,0.9966984,0.0003834461,0.002102821],"genre_scores_gemma":[0.001353414,0.00004034692,0.0003478576,0.00002742276,0.00000376458,0.00002238963,0.9965733,0.00005634436,0.001575212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2216802,"threshold_uncertainty_score":0.4459713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005417196395154706,"score_gpt":0.1907715373648955,"score_spread":0.1853543409697408,"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."}}