{"id":"W6909012840","doi":"10.34943/4fbe7f57-5468-4ece-a24d-d10f5ef815e3","title":"Cambridge Bay Hydrophone Deployed 2022-09-12","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","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001193631,0.001787779,0.001751712,0.0001159295,0.0009206192,0.0002574414,0.00228685,0.001631453,0.0001136616],"category_scores_gemma":[0.0001324604,0.001980075,0.001107148,0.002349651,0.0004004877,0.0001712995,0.0009043645,0.004037881,0.0006013438],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00471196,"about_ca_system_score_gemma":0.005704212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8959398,"about_ca_topic_score_gemma":0.9792865,"domain_scores_codex":[0.9905655,0.0003802061,0.00129283,0.002080924,0.002700927,0.002979654],"domain_scores_gemma":[0.9939648,0.0005950513,0.0009856406,0.00296995,0.0002267065,0.001257837],"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":[0.00003479462,0.00006862987,0.00007807088,0.000212551,0.001178743,0.000681337,0.0000155185,0.01055257,0.000002945415,0.000001358263,0.9871219,0.00005156626],"study_design_scores_gemma":[0.0009643466,0.00004186429,0.0003521122,0.0002288074,0.0006004482,0.00004095426,0.0001392071,0.01056269,0.000002102538,0.000002596925,0.9851307,0.001934177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001953896,0.001653262,0.00002349085,0.000222224,0.006741978,0.0009578245,0.9894181,0.0007570789,0.00003059073],"genre_scores_gemma":[0.0001823225,0.002872702,0.00005168768,0.002485763,0.004299583,0.00005343932,0.9837335,0.001080803,0.005240198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08334675,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008355631061628118,"score_gpt":0.2078145681182304,"score_spread":0.1994589370566023,"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."}}