{"id":"W6908881998","doi":"10.34943/bc7d0fd7-4d0b-4cf4-b702-820b8101c29b","title":"China Creek Oxygen Sensor Deployed 2025-06-05","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; China; Measure (data warehouse); Software deployment; Water quality; Hydrology (agriculture)","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":[0.000561917,0.001514659,0.0007569974,0.001503531,0.0008613819,0.0009990099,0.002345274,0.001108994,0.01194779],"category_scores_gemma":[0.001730886,0.0003331199,0.0004739891,0.003327776,0.0003995131,0.0009303095,0.000912629,0.001000373,0.0186509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002693783,"about_ca_system_score_gemma":0.004075226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3664807,"about_ca_topic_score_gemma":0.5360777,"domain_scores_codex":[0.9993147,0.00005072757,0.00004743243,0.0001653273,0.0002806134,0.0001412028],"domain_scores_gemma":[0.9989938,0.00005823484,0.00004273631,0.0001747999,0.0006056432,0.000124727],"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":[0.0000684262,0.00002827819,0.001675034,0.000157627,0.00001557668,0.0000344404,0.00002217439,0.0007758168,0.0003138077,0.0003830275,0.9933042,0.003221546],"study_design_scores_gemma":[0.0001926518,0.00003363159,0.01928524,0.0001754115,0.0000236663,0.00008362967,0.000233145,0.004762429,0.001651944,0.001100135,0.9723964,0.00006173645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001043136,0.00005285219,0.0001753346,0.0001072867,0.00004508597,0.0000286874,0.9957753,0.0006610545,0.002111299],"genre_scores_gemma":[0.001418322,0.00002391613,0.0003246211,0.00003661093,0.000004508014,0.00003084949,0.9973052,0.00003314854,0.0008229662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3664807,"threshold_uncertainty_score":0.7286952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006436124533404181,"score_gpt":0.2170639831949921,"score_spread":0.2106278586615879,"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."}}