{"id":"W7161063538","doi":"10.34943/10c17cf1-d70f-4622-bfdf-3058846a7881","title":"Cambridge Bay Hydrophone Deployed 2023-08-03","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Bay; Underwater; Sound (geography); Data logger; Waveform; Software deployment","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":[0.0007398422,0.001830151,0.0009268647,0.002730963,0.001073588,0.001612928,0.002198649,0.001045856,0.02830594],"category_scores_gemma":[0.002936814,0.0004344592,0.0004816382,0.006195406,0.0004837541,0.0008697212,0.001272228,0.001192725,0.04523573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003869994,"about_ca_system_score_gemma":0.006867478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5964867,"about_ca_topic_score_gemma":0.7031446,"domain_scores_codex":[0.9988285,0.00007495389,0.00006981229,0.0002557044,0.0005497209,0.0002213286],"domain_scores_gemma":[0.9974178,0.0001430827,0.0001179574,0.000343679,0.001764132,0.0002133585],"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":[0.0000392198,0.00001207486,0.001393242,0.00009479591,0.000009241747,0.0000234599,0.00002209647,0.000325657,0.0001282428,0.0003114858,0.9952678,0.002372763],"study_design_scores_gemma":[0.00008434405,0.00001138193,0.01488251,0.0001360109,0.00001173268,0.00003979897,0.0001909536,0.001033568,0.0006113244,0.0005331949,0.9824224,0.00004292044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004381227,0.00003099744,0.0001077034,0.0000453484,0.00002730333,0.00001654323,0.9971671,0.0002969544,0.001869956],"genre_scores_gemma":[0.0009971355,0.00002390063,0.0002880102,0.00002177159,0.000005714567,0.00003885531,0.9969251,0.0000628938,0.001636726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5964867,"threshold_uncertainty_score":0.8117794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008573043611073873,"score_gpt":0.2119112473635651,"score_spread":0.2033382037524912,"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."}}