{"id":"W6965626200","doi":"10.34943/f713d189-568f-48b4-bb96-aebf04e3b4b0","title":"Bullseye Hydrophone Deployed 2014-05-24","year":2014,"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; Data logger; Waveform; Seafloor spreading; Sound (geography); Ocean bottom","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":[0.0007987722,0.001753335,0.001065626,0.002881174,0.0008785299,0.001477738,0.002290834,0.001124335,0.01770557],"category_scores_gemma":[0.00320842,0.0004906522,0.0006152783,0.00480701,0.0005215654,0.001181334,0.001579286,0.001245751,0.03346455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382732,"about_ca_system_score_gemma":0.004060724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2964583,"about_ca_topic_score_gemma":0.4564644,"domain_scores_codex":[0.9989825,0.00008993108,0.00007018985,0.0002401618,0.0004419589,0.0001753755],"domain_scores_gemma":[0.9980868,0.0001408989,0.0001052826,0.0003446538,0.001166882,0.0001555543],"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":[0.00005315389,0.00001848525,0.002234916,0.0001869438,0.00002591885,0.00003594768,0.00004102172,0.0006192967,0.0002190037,0.0004278514,0.9926564,0.003480976],"study_design_scores_gemma":[0.00009937732,0.0000166365,0.01566452,0.0001881664,0.00002150643,0.00005883203,0.0002600593,0.001415787,0.000638769,0.0008532449,0.9807289,0.00005407619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000961774,0.00008391995,0.0002645557,0.00008600342,0.00005460671,0.00002168456,0.995799,0.0007239169,0.00200447],"genre_scores_gemma":[0.001368788,0.00004687163,0.0004572034,0.00002583058,0.000009376214,0.00004261553,0.9963967,0.00008936548,0.001563339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7035418,"threshold_uncertainty_score":0.5894654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005007386391135528,"score_gpt":0.1924524510215192,"score_spread":0.1874450646303837,"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."}}