{"id":"W6890179563","doi":"10.34943/d7834bdf-2c2a-4309-a55e-5624f4c71a86","title":"Burrard Inlet Carbon Dioxide Sensor Deployed 2023-07-25","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon dioxide; Fjord; Inlet; Seawater; Measure (data warehouse); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001178628,0.001933815,0.001964642,0.0001332289,0.0006077416,0.0002192138,0.002075591,0.001944144,0.00007972358],"category_scores_gemma":[0.0002419398,0.002138219,0.001074772,0.002298375,0.0004055678,0.0001320115,0.0008499052,0.004218975,0.0002998475],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004716014,"about_ca_system_score_gemma":0.004195177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9053826,"about_ca_topic_score_gemma":0.9641736,"domain_scores_codex":[0.9902001,0.0005056574,0.00139772,0.002140676,0.002720247,0.003035606],"domain_scores_gemma":[0.9936422,0.0007704247,0.001065836,0.002980467,0.0003307211,0.001210401],"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":[0.00003478921,0.00003772403,0.0001680889,0.0002524174,0.001361139,0.0007405209,0.00003203255,0.009926132,0.000003694095,0.000001391238,0.9874021,0.00003990898],"study_design_scores_gemma":[0.0008447864,0.0000426139,0.0002871343,0.0003250648,0.0007898667,0.0000384497,0.000381207,0.006293954,0.000003525199,0.000007817536,0.9889036,0.002081978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006437342,0.00138261,0.000007834106,0.0003345595,0.005003946,0.001081627,0.9906874,0.0008111958,0.00004704564],"genre_scores_gemma":[0.000226227,0.001478707,0.0000888635,0.002333141,0.004397765,0.00005440657,0.987825,0.001038124,0.002557795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05879093,"threshold_uncertainty_score":0.9993516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038593101768245,"score_gpt":0.2181230020219486,"score_spread":0.2077370710042661,"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."}}