{"id":"W2911444284","doi":"","title":"Revised Selected Papers of PAKDD 2013 International Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 7867","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volume (thermodynamics); Data science; Knowledge extraction; Computer science; Library science; Data mining; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001365033,0.0001001228,0.0001280802,0.0001642623,0.00005641608,0.0002209349,0.0008070435,0.00003735848,0.00003937892],"category_scores_gemma":[0.00003171495,0.00008530936,0.000009883591,0.000613158,0.0000627874,0.0008852479,0.0005518576,0.00007719656,0.00001219241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309601,"about_ca_system_score_gemma":0.00002736542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411821,"about_ca_topic_score_gemma":0.00007987745,"domain_scores_codex":[0.9990629,0.00002144083,0.0002257189,0.0004598118,0.0001002944,0.0001298171],"domain_scores_gemma":[0.9989758,0.0001472248,0.0000740005,0.0006868879,0.00005603222,0.00006004276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001491242,0.0001487136,0.006366371,0.00000998029,0.00001865782,2.011911e-7,0.0003258643,0.000005770258,0.0003571403,0.007155163,0.02014766,0.965463],"study_design_scores_gemma":[0.0005765111,0.00005561765,0.453034,0.00009490624,0.00001177594,0.000006601088,0.000291835,0.4908978,0.00006352973,0.0002122729,0.05445108,0.000304039],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3137752,0.001763655,0.5922677,0.02238248,0.0004016271,0.001936144,0.0007464042,0.0005170637,0.06620971],"genre_scores_gemma":[0.8701442,0.0003420324,0.1207475,0.0001435025,0.00009579619,0.0002508837,0.0006596791,0.00001621309,0.007600076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9651589,"threshold_uncertainty_score":0.3478815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081511442458907,"score_gpt":0.2820615684622935,"score_spread":0.2612464540377044,"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."}}