{"id":"W7132850717","doi":"10.34943/bd4d268f-7b55-458f-8abd-c281d1e94a1f","title":"Discovery Passage Hydrophone Deployed 2025-08-01","year":2025,"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; Underwater; Waveform; Channel (broadcasting); Sound (geography); Data logger; Ambient noise level","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":[0.0008378748,0.001982419,0.001081616,0.002407468,0.00109322,0.001591042,0.002664057,0.001434761,0.02503766],"category_scores_gemma":[0.003248364,0.0004697854,0.0006743364,0.004641247,0.0005311508,0.001278283,0.001542363,0.001373954,0.05710736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00221887,"about_ca_system_score_gemma":0.003942681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2061757,"about_ca_topic_score_gemma":0.3194724,"domain_scores_codex":[0.9988155,0.0001133868,0.00008412296,0.0002933362,0.0004742378,0.0002193314],"domain_scores_gemma":[0.9982123,0.0001757593,0.00009439001,0.0003800607,0.0009661326,0.000171364],"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":[0.00005118828,0.00001599455,0.001036233,0.0001407464,0.00001150481,0.00002954616,0.00002391373,0.0004826148,0.0001544771,0.0003432556,0.995173,0.002537345],"study_design_scores_gemma":[0.000109069,0.00001978551,0.008586478,0.0001770463,0.00001483272,0.00006642455,0.0002071767,0.001371323,0.0006227058,0.000960189,0.9878182,0.00004676671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004261243,0.00004069772,0.0001403124,0.00006019973,0.0000424276,0.00001500254,0.9972567,0.0005021498,0.001516418],"genre_scores_gemma":[0.0007327872,0.00002131359,0.0003042404,0.00002172582,0.00000628016,0.00003245731,0.997867,0.00005892273,0.0009552313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2061757,"threshold_uncertainty_score":0.4099513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005508876445049362,"score_gpt":0.2097485452522163,"score_spread":0.2042396688071669,"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."}}