{"id":"W6927995340","doi":"10.34943/230f1274-f451-45df-aca6-88f72fd33cca","title":"Burrard Inlet Hydrophone Deployed 2022-10-04","year":2022,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001222099,0.001718729,0.001708799,0.0001108786,0.001437881,0.0002254401,0.003998746,0.001125776,0.0330686],"category_scores_gemma":[0.0001452715,0.002001391,0.001096266,0.002471794,0.0003827499,0.0001778614,0.002322259,0.005204734,0.00005204965],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006987038,"about_ca_system_score_gemma":0.006740594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6933841,"about_ca_topic_score_gemma":0.8699293,"domain_scores_codex":[0.9901842,0.0006258055,0.00127064,0.002065225,0.003318965,0.002535143],"domain_scores_gemma":[0.9927995,0.0004284032,0.001166525,0.004347172,0.0002006051,0.001057788],"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":[0.00007363865,0.00009789826,0.00002551002,0.0001429785,0.001106203,0.0005054876,0.00004296147,0.02591239,0.000001712114,0.000001326765,0.972021,0.0000689382],"study_design_scores_gemma":[0.001078434,0.00008425063,0.00001935652,0.00007071689,0.0005772018,0.00006064828,0.0002945442,0.003271744,0.00000160917,0.00001054813,0.9925741,0.001956847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001283134,0.004503311,0.00001039674,0.000271334,0.004354213,0.0009237197,0.9893944,0.0003700916,0.00004424934],"genre_scores_gemma":[0.0001669507,0.001866024,0.0000819909,0.004873238,0.002320684,0.0000925295,0.9873152,0.0007355826,0.002547788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1765452,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006615730871751481,"score_gpt":0.2020259785873221,"score_spread":0.1954102477155706,"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."}}