{"id":"W6965022668","doi":"10.34943/7c7bfc5a-0b28-43a3-8139-e574552cbd22","title":"ODP 1027C Hydrophone Deployed 2023-07-14","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; Underwater; Borehole; Waveform; Data logger; Sound (geography)","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":[0.0008765086,0.001980028,0.00101249,0.002575192,0.001053075,0.001605364,0.002573023,0.001394428,0.0284582],"category_scores_gemma":[0.003120699,0.0004876088,0.0006342687,0.005507148,0.0005538609,0.001113083,0.001546498,0.001458452,0.05584202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516158,"about_ca_system_score_gemma":0.004834179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2764511,"about_ca_topic_score_gemma":0.4048004,"domain_scores_codex":[0.9989738,0.00009923194,0.0000686948,0.0002361126,0.000414041,0.0002080476],"domain_scores_gemma":[0.998117,0.0001808225,0.0001032948,0.0003572928,0.001051328,0.0001902591],"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":[0.00003894157,0.00001438761,0.001009897,0.0001418894,0.0000103924,0.00002406586,0.00002234866,0.0004551437,0.0001264364,0.0003845369,0.9955997,0.002172228],"study_design_scores_gemma":[0.0001084784,0.0000134953,0.007306454,0.0001817346,0.0000120889,0.0000430759,0.0001962127,0.001289607,0.000510769,0.001174812,0.9891216,0.00004173992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002435618,0.00002380544,0.0001229885,0.00004911029,0.00002615795,0.00001152942,0.9981241,0.0003302564,0.00106851],"genre_scores_gemma":[0.0005749014,0.00001827551,0.000331647,0.00001901054,0.000004600428,0.00003264357,0.9981925,0.00005970952,0.0007667454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7235489,"threshold_uncertainty_score":0.5496839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009193497097406628,"score_gpt":0.2140536284573857,"score_spread":0.204860131359979,"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."}}