{"id":"W2512491746","doi":"10.5100/jje.42.supplement_114","title":"","year":2006,"lang":"","type":"article","venue":"The Japanese Journal of Ergonomics","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Computer science","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","research_integrity"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.02468776,0.001719481,0.00293753,0.001369253,0.002250428,0.001084201,0.007237129,0.0004291398,0.00009891199],"category_scores_gemma":[0.001380864,0.001129046,0.002791933,0.002795897,0.004274748,0.005444266,0.0008015337,0.00334915,0.0003463937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002755359,"about_ca_system_score_gemma":0.001347846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507266,"about_ca_topic_score_gemma":0.0007468412,"domain_scores_codex":[0.9802904,0.003385159,0.01042422,0.0007320984,0.002198963,0.002969136],"domain_scores_gemma":[0.9730012,0.00416044,0.01574514,0.002586578,0.003396993,0.001109672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.03720769,0.002484668,0.03686067,0.00002957647,0.001133271,0.0003063818,0.02227683,0.6120107,0.2837221,0.003070122,0.0004586181,0.0004393343],"study_design_scores_gemma":[0.02440966,0.003463533,0.7650236,0.0003712907,0.003501002,0.04701712,0.07630906,0.01997796,0.04317611,0.01348339,0.001132344,0.002134884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890732,0.003156714,0.0003550392,0.004088263,0.002118995,0.000863043,0.00003877631,0.00005132691,0.0002546555],"genre_scores_gemma":[0.9899662,0.0003013483,0.002243187,0.0005255321,0.006376235,0.000007649771,0.000002712387,0.0004468161,0.0001303202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.728163,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172978428314247,"score_gpt":0.2293185735389747,"score_spread":0.2175887892558322,"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."}}