{"id":"W4392305757","doi":"10.5220/0012378800003636","title":"A Probabilistic Approach for Detecting Real Concept Drift","year":2024,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Probabilistic logic; Computer science; Concept drift; Artificial intelligence; Data mining","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":[0.0003333511,0.000102068,0.0001022462,0.00007142323,0.0000632232,0.0003839496,0.0007152423,0.00005352954,0.00000477179],"category_scores_gemma":[0.0001328002,0.00008329265,0.00005077996,0.0002627807,0.00003814205,0.000366458,0.0002510205,0.00009518801,0.000006897849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003643094,"about_ca_system_score_gemma":0.00006968716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004872272,"about_ca_topic_score_gemma":0.000004023668,"domain_scores_codex":[0.9990005,0.00002232142,0.0001512045,0.0004840765,0.0001180071,0.000223888],"domain_scores_gemma":[0.9991504,0.000246147,0.00002082315,0.0005010671,0.0000354933,0.00004606962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001877949,0.00002893884,0.00001016867,0.0001066319,0.00001586654,0.000006488664,0.0009716449,0.00002017391,0.0003748927,0.7019235,0.01454141,0.2819984],"study_design_scores_gemma":[0.00009024359,0.0001935288,0.00002137578,0.00004501047,0.000009816199,0.00003508027,0.00005691495,0.9618163,0.007111904,0.02235783,0.008030104,0.0002318828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004185624,0.00003885608,0.9733901,0.0001198827,0.0001309255,0.0003855436,0.000009682481,0.002635402,0.02287105],"genre_scores_gemma":[0.281283,0.000001158209,0.7180067,0.00004307606,0.00006002232,0.0001547001,0.000009638768,0.000010173,0.0004315523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9617962,"threshold_uncertainty_score":0.3702435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004004069942679,"score_gpt":0.2896273698569095,"score_spread":0.2595873291574827,"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."}}