{"id":"W6946615878","doi":"10.34943/25d13072-5837-4e51-b285-6a4ede84bba3","title":"Barkley Canyon Upper Slope Hydrophone Deployed 2012-05-28","year":2012,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Hydrophone; Underwater; Continental shelf; Digital data; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006247825,0.001370829,0.0008734422,0.002256358,0.0007185562,0.001055118,0.00154722,0.0008422342,0.01309264],"category_scores_gemma":[0.002139035,0.0003911451,0.0003494906,0.003613442,0.0002712128,0.0006268854,0.0009495703,0.001071658,0.0224659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819322,"about_ca_system_score_gemma":0.00296212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2381421,"about_ca_topic_score_gemma":0.4438539,"domain_scores_codex":[0.9993706,0.00005312716,0.0000473187,0.0001460839,0.0002707407,0.0001120478],"domain_scores_gemma":[0.9985307,0.0001109471,0.00009235162,0.000256778,0.0008627189,0.0001464145],"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":[0.00007581149,0.00002655681,0.003143243,0.0002019441,0.00002040001,0.0000489479,0.00005258911,0.0006257084,0.0003075039,0.0003432381,0.9908337,0.004320453],"study_design_scores_gemma":[0.0001369238,0.00002252585,0.03324666,0.0001907699,0.00002035235,0.00005700887,0.0003029355,0.001985532,0.001122188,0.0005800388,0.9622896,0.00004534108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001170614,0.0000415953,0.0001552572,0.00005059467,0.00002604907,0.00002248824,0.9962328,0.0005267671,0.001773829],"genre_scores_gemma":[0.001329098,0.00002575221,0.0003825726,0.00001419811,0.000004281883,0.00004140693,0.9969394,0.0000467932,0.00121655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2381421,"threshold_uncertainty_score":0.473512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009107221186410358,"score_gpt":0.1979051143943825,"score_spread":0.1887978932079721,"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."}}