{"id":"W6965474368","doi":"10.34943/f93f2b9c-2a3b-4b0e-9a08-e0e8702a518c","title":"Hercules Oxygen Sensor Deployed 2023-06-25","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxygen; Measure (data warehouse); Oxygen sensor; Software deployment; Limiting oxygen concentration; 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":[0.0006003553,0.00142402,0.0008073047,0.001201613,0.000539421,0.0007799437,0.00226106,0.001021728,0.0122139],"category_scores_gemma":[0.001454651,0.0002960124,0.0004951219,0.002155621,0.00029853,0.0008547495,0.0009558889,0.0009794066,0.02432777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120575,"about_ca_system_score_gemma":0.001322485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07100584,"about_ca_topic_score_gemma":0.1135113,"domain_scores_codex":[0.9994888,0.00005719734,0.00003869833,0.0001523875,0.0001712307,0.00009167092],"domain_scores_gemma":[0.9994667,0.00005144131,0.00003687774,0.0001415626,0.0002318868,0.00007146292],"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":[0.00009908412,0.00003397339,0.001205133,0.0002251456,0.00001894709,0.00003431756,0.00002093821,0.0007616162,0.0003927695,0.0003779474,0.9933194,0.003510773],"study_design_scores_gemma":[0.0002961786,0.0000479909,0.01533002,0.0002150003,0.00002648768,0.0001066996,0.0001845058,0.004588415,0.001870816,0.001607553,0.9756722,0.00005420224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001314664,0.00008057221,0.0002229538,0.0001149718,0.00004786651,0.00003073931,0.9950386,0.001079686,0.002069948],"genre_scores_gemma":[0.001467797,0.00002887035,0.0003989502,0.00004566279,0.000006534131,0.00004391871,0.9972607,0.00005554795,0.0006919208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07100584,"threshold_uncertainty_score":0.1411851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00872800282572574,"score_gpt":0.1862983046249758,"score_spread":0.17757030179925,"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."}}