{"id":"W6928055278","doi":"10.34943/287e8219-d69c-40a7-a0bd-2155e1b2c6c8","title":"Burrard Inlet Hydrophone Deployed 2023-07-25","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; Inlet; Underwater; Data logger; Waveform; Fjord; Sound (geography); 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":[0.0007534264,0.001616497,0.0009250151,0.002434329,0.001101122,0.001388236,0.00237272,0.001125419,0.025309],"category_scores_gemma":[0.002603102,0.0004420796,0.0005011599,0.005139438,0.0004675635,0.0007677242,0.001182617,0.001174256,0.03753965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312101,"about_ca_system_score_gemma":0.00641959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5876669,"about_ca_topic_score_gemma":0.7166881,"domain_scores_codex":[0.9991424,0.00007164545,0.00005045167,0.0001971312,0.0003577687,0.0001805541],"domain_scores_gemma":[0.9980354,0.000144932,0.00009630321,0.0003123743,0.001228107,0.0001830271],"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":[0.00004101133,0.00001401339,0.00152183,0.0001192809,0.00001103218,0.00002770254,0.00002479387,0.0004351547,0.0001282398,0.0003579688,0.9947777,0.002541349],"study_design_scores_gemma":[0.00008269413,0.00001167455,0.0127282,0.0001801209,0.00001273634,0.00004429388,0.0002214073,0.001238623,0.0005287659,0.0006848523,0.9842262,0.00004042068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004073058,0.00003076861,0.0001223552,0.00004558785,0.00002182262,0.0000140554,0.9976554,0.0002660746,0.001436602],"genre_scores_gemma":[0.001058395,0.000024931,0.0003803567,0.00002219808,0.000004448835,0.00004036332,0.9969996,0.00005837555,0.001411389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4123331,"threshold_uncertainty_score":0.8295227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009507635398636326,"score_gpt":0.2167962435621866,"score_spread":0.2072886081635502,"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."}}