{"id":"W4210755736","doi":"10.1785/0220210290","title":"QuakeLabeler: A Fast Seismic Data Set Creation and Annotation Toolbox for AI Applications","year":2022,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Python (programming language); Toolbox; Data mining; Visualization; Benchmark (surveying); Software; Set (abstract data type); Graphics; Programming language; Computer graphics (images)","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":[0.003728231,0.003185044,0.001613479,0.004766363,0.001259969,0.002602597,0.005313264,0.001384624,0.09346507],"category_scores_gemma":[0.01394136,0.00197193,0.001946648,0.003740943,0.000864252,0.004447886,0.006354923,0.003320344,0.07340044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127018,"about_ca_system_score_gemma":0.002688998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016846,"about_ca_topic_score_gemma":0.00621345,"domain_scores_codex":[0.9978747,0.0003011536,0.0002690597,0.0005461275,0.0008468605,0.0001620566],"domain_scores_gemma":[0.9945961,0.001983768,0.0003491152,0.001296302,0.001378128,0.0003965773],"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":[0.000580812,0.0001875614,0.001588692,0.001633357,0.0001352831,0.0003003025,0.0004532452,0.005483091,0.009933135,0.006600411,0.7912458,0.1818583],"study_design_scores_gemma":[0.0005120438,0.000171068,0.0058724,0.0005527352,0.00008002768,0.000484047,0.0002764718,0.171073,0.04990017,0.05560452,0.715012,0.0004615211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001376483,0.0001486483,0.2966399,0.0002630129,0.0002379485,0.0003623022,0.07575374,0.62064,0.004577929],"genre_scores_gemma":[0.01780873,0.0003706395,0.6014436,0.0007555697,0.0001367055,0.003808114,0.2104031,0.1550507,0.01022287],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.09346507,"threshold_uncertainty_score":0.3126718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423836876151509,"score_gpt":0.3991268664552401,"score_spread":0.2567431788400892,"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."}}