{"id":"W7125281639","doi":"10.34943/df62a672-8bf3-4d1b-89f0-c5e1e4932d80","title":"China Creek Hydrophone Deployed 2025-06-05","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; Sound (geography); Data logger; Inlet; Waveform","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":[0.0006780205,0.001593405,0.0008008013,0.002424815,0.001047738,0.001319671,0.002042689,0.0009151798,0.02181576],"category_scores_gemma":[0.002237387,0.0003613974,0.0004237109,0.005116255,0.000458501,0.0008254841,0.001157816,0.0009677675,0.03085689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003514237,"about_ca_system_score_gemma":0.00692255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5641454,"about_ca_topic_score_gemma":0.6953445,"domain_scores_codex":[0.9990268,0.0000707066,0.00005367852,0.0001978324,0.0004478753,0.0002030907],"domain_scores_gemma":[0.9981832,0.00009158392,0.0000776179,0.0002460677,0.001234314,0.0001672788],"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":[0.00004752523,0.00001666486,0.002183073,0.0001148078,0.00001201652,0.00003229738,0.0000347348,0.000516073,0.0001786046,0.0004241488,0.9928129,0.003627117],"study_design_scores_gemma":[0.00008931165,0.00001589504,0.02049599,0.0001584622,0.00001427605,0.00004630843,0.0002936852,0.001736574,0.0007341751,0.0006209422,0.9757457,0.00004860919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008768889,0.00003968006,0.0001811104,0.00006111792,0.00003819562,0.00002499387,0.9955354,0.000403553,0.002839097],"genre_scores_gemma":[0.001663322,0.00002659601,0.0003961137,0.00002570005,0.000006622935,0.00004668596,0.9958571,0.00005702805,0.001920842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5641454,"threshold_uncertainty_score":0.8768429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004860515375577603,"score_gpt":0.209635137779566,"score_spread":0.2047746224039884,"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."}}