{"id":"W4382619352","doi":"10.3204/pubdb-2023-04368","title":"PTArcade","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsches Elektronen-Synchrotron; Office of Science; Westfälische Wilhelms-Universität Münster; Deutsche Forschungsgemeinschaft; National Science Foundation; University of Central Florida; Strong; High Energy Physics; U.S. Department of Energy; Canadian Centre for Applied Research in Cancer Control","keywords":"Computer science; Cluster (spacecraft); Series (stratigraphy); Data mining; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002626283,0.002409858,0.00155522,0.002385449,0.001447753,0.005608086,0.005913899,0.002442718,0.2463981],"category_scores_gemma":[0.0172728,0.003088815,0.003477383,0.002135065,0.0008245108,0.007303306,0.005398398,0.006864916,0.2701574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611976,"about_ca_system_score_gemma":0.002651506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004216705,"about_ca_topic_score_gemma":0.00466425,"domain_scores_codex":[0.9977921,0.0003423539,0.0002009509,0.0005355012,0.0008815351,0.0002476705],"domain_scores_gemma":[0.9935157,0.002225611,0.0002551597,0.002270155,0.001428548,0.0003048217],"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":[0.0003567841,0.00006788292,0.000891255,0.0005772158,0.00009041991,0.0001975245,0.0002390237,0.001834139,0.002251583,0.01515724,0.9182554,0.06008158],"study_design_scores_gemma":[0.0001546306,0.00003212815,0.0007669731,0.0001541942,0.00003871387,0.0004929573,0.00007479322,0.01250725,0.006824222,0.02032872,0.9585122,0.0001132291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00102701,0.0003779951,0.1983321,0.000571749,0.0004353594,0.0002035936,0.02655562,0.7409964,0.03150021],"genre_scores_gemma":[0.01668131,0.0007305469,0.1646236,0.00182649,0.0001834072,0.0007531083,0.0779485,0.6883178,0.04893523],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2463981,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2773252613276719,"score_gpt":0.2270120842257712,"score_spread":0.05031317710190078,"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."}}