{"id":"W2288152606","doi":"10.1109/icdmw.2015.193","title":"JMesh -- A Scalable Web-Based Platform for Visualization and Mining of Passive Acoustic Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Computer science; Spectrogram; Scalability; Visualization; Data visualization; Real-time computing; Data mining; Database; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015053,0.00142436,0.0009468339,0.002010192,0.000406141,0.002359401,0.002684549,0.0007369782,0.01735897],"category_scores_gemma":[0.003828617,0.0006926665,0.001093582,0.001392506,0.0003718444,0.003244776,0.003330919,0.001438148,0.009032418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287139,"about_ca_system_score_gemma":0.0008313163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003249338,"about_ca_topic_score_gemma":0.004260524,"domain_scores_codex":[0.9991969,0.00008229631,0.00008500801,0.0001504324,0.0004145827,0.00007063742],"domain_scores_gemma":[0.9980428,0.0006036143,0.000125179,0.0005875615,0.0003468473,0.0002939958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003120048,0.0005904534,0.01031337,0.002041075,0.0005057538,0.001935099,0.001144535,0.01681098,0.1121228,0.01302205,0.4296938,0.4087],"study_design_scores_gemma":[0.0008389203,0.0004067777,0.0247762,0.0004566938,0.0001836746,0.001741905,0.0005943746,0.3467848,0.1066809,0.0360711,0.480816,0.0006485533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01604379,0.0004946656,0.392764,0.0006493284,0.0002600507,0.0006692717,0.03973323,0.5358304,0.01355523],"genre_scores_gemma":[0.2037163,0.001128066,0.6010529,0.0009471632,0.0003003396,0.001465313,0.125631,0.04000975,0.02574921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01735897,"threshold_uncertainty_score":0.05807161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07412263634049866,"score_gpt":0.3028732601705648,"score_spread":0.2287506238300662,"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."}}