{"id":"W4387455703","doi":"10.24843/jmat.2022.v12.i02.p153","title":"","year":2023,"lang":"","type":"article","venue":"Jurnal Matematika","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Mathematics; Statistics","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006355448,0.001053673,0.001309649,0.001567518,0.00283703,0.004584572,0.006881435,0.0003686365,0.00005247813],"category_scores_gemma":[0.001385487,0.001035694,0.0005260059,0.01019845,0.0003374172,0.003621624,0.003907852,0.001678868,0.008402265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612138,"about_ca_system_score_gemma":0.0005175361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003379949,"about_ca_topic_score_gemma":0.0000199769,"domain_scores_codex":[0.9892269,0.001049819,0.002660807,0.002326717,0.002130688,0.00260502],"domain_scores_gemma":[0.9909643,0.001305317,0.001589582,0.004467079,0.0005084909,0.001165209],"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":[0.0001262579,0.001317694,0.01918018,0.004504731,0.0009060149,0.001380032,0.04231257,0.03591608,0.008898376,0.4224184,0.0864295,0.3766102],"study_design_scores_gemma":[0.001568278,0.0005286563,0.162905,0.001528653,0.0001476365,0.0006387148,0.001049283,0.8019276,0.0006539758,0.01409953,0.01344391,0.001508771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5938593,0.0004508621,0.3292982,0.06479689,0.003031063,0.001412181,0.0001918412,0.005274514,0.00168518],"genre_scores_gemma":[0.9770712,0.0006318289,0.01581036,0.00146733,0.0006529861,0.0004540272,0.0001506214,0.000121501,0.003640206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7660115,"threshold_uncertainty_score":0.9992093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751477272838946,"score_gpt":0.3025241774432975,"score_spread":0.275009404714908,"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."}}