{"id":"W7143940589","doi":"10.14988/0002000880","title":"日本における「プログラム評価」の可能性 : 行政学からの省察と展望","year":2025,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Image (mathematics); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01678319,0.0003536392,0.0005107005,0.003285449,0.002021737,0.007321781,0.000706307,0.001358032,0.01031293],"category_scores_gemma":[0.02380665,0.0004998079,0.0004618242,0.004148652,0.007532101,0.008525705,0.001843617,0.002356293,0.004643783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003250175,"about_ca_system_score_gemma":0.004964108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008925507,"about_ca_topic_score_gemma":0.01117191,"domain_scores_codex":[0.9903216,0.003089871,0.001043984,0.001156835,0.00392545,0.000462348],"domain_scores_gemma":[0.9799749,0.0078001,0.00187643,0.002340367,0.007131362,0.0008767936],"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":[0.0004353675,0.0002284194,0.02296134,0.001286318,0.0001402561,0.0008622874,0.01046298,0.0009072737,0.008409168,0.2469674,0.09118617,0.616153],"study_design_scores_gemma":[0.0001309089,0.0003323185,0.03776112,0.001358768,0.0002813046,0.002195998,0.01287185,0.003634388,0.02213148,0.2101886,0.7088471,0.0002661559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1696756,0.03396649,0.2110174,0.08779056,0.004499789,0.0006285344,0.003803425,0.001617601,0.4870006],"genre_scores_gemma":[0.7626291,0.02141355,0.139893,0.008856519,0.002116128,0.0005195723,0.002394173,0.0006235509,0.06155435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01678319,"threshold_uncertainty_score":0.08875906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08598722940476389,"score_gpt":0.445323062331165,"score_spread":0.3593358329264011,"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."}}