{"id":"W6890296414","doi":"10.34943/1c7f8dea-9e23-40b9-8722-77f5d536f01b","title":"Baynes Sound Oxygen Sensor Deployed 2019-10-08","year":2019,"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); Oxygen; Oxygen sensor; Sound (geography); Software deployment; Wireless sensor network","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":[0.0006657077,0.001777661,0.0008894574,0.001673765,0.0007782899,0.001012912,0.002201292,0.001341032,0.01130398],"category_scores_gemma":[0.001948267,0.0003650934,0.0005350895,0.003123001,0.0004097711,0.0008810138,0.001084893,0.00118984,0.02405142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644983,"about_ca_system_score_gemma":0.00258302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1793127,"about_ca_topic_score_gemma":0.3132131,"domain_scores_codex":[0.9992974,0.00005583599,0.00005738777,0.0001953171,0.0002689919,0.0001250202],"domain_scores_gemma":[0.9990037,0.00007722617,0.00005149909,0.0002006691,0.0005418407,0.0001250956],"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":[0.00008181859,0.00003454648,0.001818655,0.0001678727,0.00001805151,0.00004107468,0.0000223721,0.0005971753,0.0003259089,0.0003045774,0.9929574,0.003630566],"study_design_scores_gemma":[0.0002330667,0.00004767771,0.01808234,0.0002039903,0.00002745941,0.0001206008,0.0002341369,0.002941555,0.001330311,0.001238892,0.9754791,0.000060881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001244863,0.00007108905,0.0001706411,0.000137333,0.00007858477,0.00002219544,0.9959489,0.0006718636,0.001654513],"genre_scores_gemma":[0.001307637,0.00003101163,0.0003123113,0.00003694359,0.000007196464,0.00003211396,0.9973754,0.00003571457,0.0008617004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8206873,"threshold_uncertainty_score":0.356538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171060972488852,"score_gpt":0.2226141822394213,"score_spread":0.2109035725145328,"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."}}