{"id":"W1955927543","doi":"10.21500/20112084.807","title":"Analyzing reaction times","year":2010,"lang":"en","type":"article","venue":"International journal of psychological research","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":1127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"BATES; A priori and a posteriori; Psychology; Random effects model; Econometrics; Mixed model; Longitudinal data; Criticism; Computer science; Statistics; Cognitive psychology; Mathematics; Epistemology; Data mining; Engineering; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004841948,0.00005768725,0.0001221301,0.0003729028,0.0002237091,0.000125723,0.001029877,0.0001988294,0.003021814],"category_scores_gemma":[0.003810588,0.00004477645,0.0001407326,0.0003209719,0.0006308737,0.0002688627,0.00005254025,0.001339353,0.0002083273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008838022,"about_ca_system_score_gemma":0.00007834568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954647,"about_ca_topic_score_gemma":0.0001735143,"domain_scores_codex":[0.9975646,0.0004560338,0.0003361689,0.0001514762,0.001198577,0.0002931865],"domain_scores_gemma":[0.9971755,0.0005735677,0.0001626142,0.00009950903,0.001808094,0.0001806722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008803374,0.001276038,0.02093776,0.000001547513,0.0002022087,0.0003784128,0.00486212,0.000001011178,0.2386468,0.3123222,0.1013025,0.319189],"study_design_scores_gemma":[0.0008703194,0.000565731,0.1144589,0.00003161887,0.000007409901,0.0001489448,0.003051397,0.000003690095,0.0004554768,0.1725546,0.7076952,0.0001566293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499706,0.00005223694,0.0002829932,0.01654788,0.005989104,0.00005776181,0.000001252086,0.00001639969,0.2270818],"genre_scores_gemma":[0.9931425,0.0002785019,0.0007128593,0.0002191128,0.003688863,0.000002506504,7.818056e-7,0.000005289855,0.001949598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6063928,"threshold_uncertainty_score":0.9978896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146597598363856,"score_gpt":0.5925903959358259,"score_spread":0.3779306360994403,"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."}}