{"id":"W6890227658","doi":"10.34943/bf8af950-dff3-4b85-9f1a-a0b664db63ac","title":"Barkley Canyon Hydrophone Deployed 2019-09-17","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Hydrophone; Underwater; Submarine canyon; Continental shelf; Sound (geography); Data logger","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":[0.0008745473,0.002126696,0.001073431,0.00265008,0.001166264,0.001595627,0.0026008,0.001472974,0.03076932],"category_scores_gemma":[0.003498265,0.0005151324,0.00062538,0.005221017,0.0004914295,0.001190229,0.001734418,0.001430341,0.06185019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002525077,"about_ca_system_score_gemma":0.004607129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3122694,"about_ca_topic_score_gemma":0.4748771,"domain_scores_codex":[0.9989709,0.0001035358,0.00007951541,0.0002437133,0.0003959572,0.0002063606],"domain_scores_gemma":[0.9978834,0.0002205892,0.0001072406,0.0004278346,0.00116916,0.0001917435],"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":[0.00003804612,0.00001161991,0.0009017863,0.0001450763,0.00000987837,0.0000200848,0.00001995824,0.0003049273,0.00009050032,0.0002606033,0.9962218,0.001975678],"study_design_scores_gemma":[0.000123091,0.00001681082,0.008552291,0.0002276903,0.0000138993,0.00004307463,0.0002136288,0.001103067,0.0004581981,0.0009270193,0.9882758,0.00004543586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002464024,0.00003290422,0.00008766061,0.00004818684,0.00002789702,0.00001177128,0.997915,0.0004286995,0.001201471],"genre_scores_gemma":[0.0005205942,0.00002573718,0.0002806805,0.00002016369,0.00000425858,0.00003274042,0.9981217,0.00006568183,0.0009284061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6877306,"threshold_uncertainty_score":0.6209036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007074051995086801,"score_gpt":0.2060132397916233,"score_spread":0.1989391877965365,"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."}}