{"id":"W2760552323","doi":"10.21031/epod.305821","title":"R Programlama Dili ile Madde Tepki Kuramında Monte Carlo Simülasyon Çalışmaları","year":2017,"lang":"tr","type":"article","venue":"Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Monte Carlo method; Humanities; Physics; Mathematics; Philosophy; 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":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002503224,0.0026174,0.003409145,0.0006225904,0.003352343,0.002256593,0.003519276,0.001602994,0.002010029],"category_scores_gemma":[0.01095169,0.002588672,0.001464183,0.0005296791,0.002107969,0.001934374,0.001874694,0.00277948,0.002407304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007262832,"about_ca_system_score_gemma":0.0005157269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000518857,"about_ca_topic_score_gemma":0.00040179,"domain_scores_codex":[0.9860213,0.0009480941,0.003108909,0.003505493,0.002152092,0.004264052],"domain_scores_gemma":[0.9849388,0.00347818,0.002845654,0.005583213,0.001240515,0.00191365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002963643,0.007355071,0.006892556,0.005162482,0.004571861,0.008540102,0.00907628,0.001160719,0.003626788,0.255029,0.07066889,0.6249526],"study_design_scores_gemma":[0.01479837,0.0050751,0.0123867,0.004875852,0.004759743,0.0008133317,0.004835947,0.08639956,0.0100355,0.4258586,0.4189228,0.01123853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3716701,0.01023435,0.4770389,0.009675344,0.01446032,0.01325315,0.01098952,0.002370781,0.09030757],"genre_scores_gemma":[0.5271837,0.001346321,0.4486064,0.000463469,0.001916149,0.0006775318,0.0001279209,0.0007220209,0.01895653],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6137141,"threshold_uncertainty_score":0.9996932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09040647400968356,"score_gpt":0.4138357958067754,"score_spread":0.3234293217970919,"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."}}