{"id":"W6946601578","doi":"10.34943/3e843732-c690-4a45-99ed-153d1344d90f","title":"Strait of Georgia Central Oxygen Sensor Deployed 2010-12-11","year":2010,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Data quality; Software deployment; Optode; Oxygen sensor; Oxygen","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":[0.0007123338,0.001466184,0.001682545,0.00007317148,0.0004190063,0.0001265279,0.002025848,0.002321592,0.0007295653],"category_scores_gemma":[0.00009279538,0.001558671,0.001084768,0.0006514521,0.0006549335,0.0001678479,0.000404396,0.003759467,0.00001024549],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844071,"about_ca_system_score_gemma":0.007048008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8661695,"about_ca_topic_score_gemma":0.9868279,"domain_scores_codex":[0.9921844,0.0002621403,0.001395314,0.001395817,0.002008467,0.002753858],"domain_scores_gemma":[0.9941575,0.0003181809,0.001514046,0.002412846,0.0003639131,0.001233502],"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":[0.00004014638,0.0001539881,0.0004415875,0.0002556633,0.0008805306,0.00009840367,0.00005268531,0.004707494,0.00003050588,0.000004062147,0.9932787,0.00005619408],"study_design_scores_gemma":[0.001046653,0.00004091928,0.004023165,0.0001340836,0.0007556652,0.00004115755,0.0001634816,0.002375145,0.00001609434,0.00000553432,0.9899834,0.001414698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002868886,0.0004112809,0.00002374961,0.0001423963,0.003680744,0.0009032502,0.9917899,0.0001653927,0.00001440934],"genre_scores_gemma":[0.00206903,0.0003035257,0.0006143303,0.0008608499,0.002493569,0.000009800607,0.992533,0.0004904016,0.000625456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1206583,"threshold_uncertainty_score":0.9998088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007655204443019158,"score_gpt":0.1990034280686983,"score_spread":0.1913482236256792,"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."}}