{"id":"W7125607474","doi":"10.34943/cf2bd948-86e2-4cef-ba82-cdc572f3c2f9","title":"Mantis Oxygen Sensor Deployed 2025-08-24","year":2025,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxygen; Measure (data warehouse); Oxygen sensor; Software deployment; Mantis; Mobile device","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":[0.0005757613,0.001665934,0.0008301985,0.001629713,0.0007178283,0.0009891381,0.00223412,0.001217309,0.0140778],"category_scores_gemma":[0.001966357,0.000349797,0.0005763354,0.003128414,0.0003567114,0.001015908,0.001007278,0.001027588,0.03002944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537207,"about_ca_system_score_gemma":0.00235652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1552413,"about_ca_topic_score_gemma":0.2653994,"domain_scores_codex":[0.9993517,0.00006073148,0.00004992558,0.0001788714,0.000241204,0.0001175879],"domain_scores_gemma":[0.9993014,0.00005754836,0.0000457318,0.0001611819,0.0003356273,0.00009853183],"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":[0.00005691611,0.00002362089,0.001106032,0.0001640603,0.00001491979,0.0000283178,0.00001578778,0.0005103099,0.0002084776,0.0003094061,0.9946759,0.0028863],"study_design_scores_gemma":[0.0001608662,0.00003513476,0.01194154,0.0001789409,0.00002357559,0.00009505864,0.0001684715,0.002586815,0.0009257752,0.001101484,0.982738,0.00004443042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007770706,0.00007272189,0.0001367854,0.0001036296,0.00005017042,0.00002197068,0.9963766,0.0006494127,0.001811669],"genre_scores_gemma":[0.001010278,0.00002687679,0.0002534168,0.00003591515,0.000006348028,0.00002697563,0.9979116,0.00003188312,0.0006966997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1552413,"threshold_uncertainty_score":0.3086753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007730267567624121,"score_gpt":0.2175422279038284,"score_spread":0.2098119603362042,"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."}}