{"id":"W6909168815","doi":"10.34943/a9d79209-376c-44e3-b06b-dae00569ad46","title":"Baynes Sound Oxygen Sensor Deployed 2023-05-04","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Memory, History, Trauma, Identity","field":"Arts and Humanities","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":[0.0006127167,0.00144106,0.0007811502,0.001487509,0.0006895859,0.001005058,0.001916621,0.001243067,0.01230505],"category_scores_gemma":[0.001847,0.0002987367,0.0005027369,0.002512656,0.0003714526,0.0008042622,0.001115788,0.001080709,0.02939761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173678,"about_ca_system_score_gemma":0.001821011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09545301,"about_ca_topic_score_gemma":0.1881164,"domain_scores_codex":[0.9994697,0.00005496021,0.00004315094,0.0001457687,0.0001919109,0.00009451765],"domain_scores_gemma":[0.999202,0.00007713505,0.00004942442,0.0001730165,0.0003836638,0.000114831],"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":[0.00007611515,0.00003425305,0.001797428,0.0001712302,0.00001474596,0.00004620078,0.00003428849,0.0004484847,0.000297014,0.0003671869,0.9930034,0.003709546],"study_design_scores_gemma":[0.0001738278,0.00003406823,0.0146404,0.0001844189,0.00001981063,0.0001115927,0.0002482816,0.00186465,0.001043882,0.001295075,0.9803444,0.0000396646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001088032,0.00006079609,0.0001894843,0.0001209354,0.00004836693,0.00002511973,0.99588,0.0006193302,0.001967916],"genre_scores_gemma":[0.00109167,0.00002662217,0.0003445495,0.00003814108,0.000006270116,0.00004026869,0.9975727,0.00003489441,0.000844889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.904547,"threshold_uncertainty_score":0.1897948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249514258248633,"score_gpt":0.2122146624139625,"score_spread":0.1897195198314761,"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."}}