{"id":"W6928092596","doi":"10.34943/f90b98b6-9c33-4270-b8f0-c9f605e1d51c","title":"Tsawwassen - Swartz Bay Ferry Route Barometric Pressure Sensor Deployed 2020-02-19","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; Atmospheric pressure; Software deployment; Pressure sensor; Surface pressure","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":[0.0006687562,0.001409021,0.0007478537,0.001812931,0.0008133232,0.001217773,0.002011338,0.001086913,0.01594549],"category_scores_gemma":[0.002502867,0.0003554896,0.000470381,0.003739394,0.0004312422,0.001057656,0.001155141,0.00109951,0.03129919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640218,"about_ca_system_score_gemma":0.004184532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3989029,"about_ca_topic_score_gemma":0.5650429,"domain_scores_codex":[0.9993399,0.00006071015,0.00004233053,0.000159769,0.000257898,0.0001393835],"domain_scores_gemma":[0.998714,0.0000949035,0.00007091132,0.0002207454,0.0007513541,0.0001481232],"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":[0.00005311553,0.00001807435,0.001860455,0.0001502375,0.00001415136,0.00002767132,0.00002845117,0.000540045,0.0001862459,0.0004484002,0.9935893,0.003083984],"study_design_scores_gemma":[0.00007412108,0.00001623603,0.01422264,0.0001790112,0.00001538951,0.000052727,0.0002148097,0.001821505,0.0007105087,0.0009663982,0.9816847,0.00004194969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005761193,0.0000534937,0.0001707385,0.00009683936,0.00003939867,0.00001388026,0.9964544,0.0004201887,0.002175071],"genre_scores_gemma":[0.0011818,0.00003823375,0.0003198393,0.00002812226,0.000004749538,0.00002348401,0.9972138,0.00003957565,0.001150329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6010971,"threshold_uncertainty_score":0.793162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00921538226413226,"score_gpt":0.2138044402001851,"score_spread":0.2045890579360528,"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."}}