{"id":"W6909066831","doi":"10.34943/3cb82638-7ba4-482d-85a9-e124c28874f0","title":"Tsawwassen - Duke Point Ferry Route Carbon Dioxide Sensor Deployed 2023-03-27","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; Terminal (telecommunication); Software deployment; Seawater; Carbon dioxide sensor; Point (geometry)","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":[0.0006073884,0.001804427,0.0008874002,0.00195029,0.00103215,0.001436998,0.002327944,0.00139139,0.01912939],"category_scores_gemma":[0.002555529,0.0003889127,0.0005344098,0.004479351,0.0004621575,0.001081811,0.001090077,0.001308846,0.0338081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003173294,"about_ca_system_score_gemma":0.004468857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.401066,"about_ca_topic_score_gemma":0.564158,"domain_scores_codex":[0.9993227,0.00006264912,0.00003911265,0.000166749,0.0002565984,0.0001522843],"domain_scores_gemma":[0.9987124,0.0001221328,0.0000644894,0.0002384917,0.0006976834,0.0001647575],"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":[0.00003842961,0.0000133234,0.000818812,0.0001160611,0.000009742063,0.00002542313,0.00001798725,0.0005723328,0.0001234754,0.0003803149,0.9960634,0.001820701],"study_design_scores_gemma":[0.000105885,0.00001473182,0.00720984,0.0001687878,0.00001283226,0.00005355369,0.0001850959,0.002519101,0.0007000859,0.001315956,0.9876757,0.00003851868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003818454,0.00004477948,0.0001388262,0.00009494483,0.00003300843,0.00001373074,0.9970747,0.0005017796,0.001716314],"genre_scores_gemma":[0.0009224833,0.00003120944,0.0003214808,0.00002487424,0.000004348847,0.0000256738,0.9977369,0.00005347727,0.0008795491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.401066,"threshold_uncertainty_score":0.7974631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040317468469556,"score_gpt":0.218379244520699,"score_spread":0.2079760698360034,"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."}}