{"id":"W7143899129","doi":"10.15083/0002009895","title":"アメリカにおけるアクレディテーションの起源に関する考察 : 1900年代のアメリカ大学協会における議論に着目して","year":2024,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harvard University; Knox College; Tulane University; University of Pennsylvania; McGill University; Princeton University; Massachusetts Institute of Technology; Yale University; Department of Neurology, University of Pittsburgh; Carnegie Foundation for the Advancement of Teaching","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001788814,0.0004647047,0.0002631771,0.001987594,0.003803208,0.003977873,0.0004714929,0.001576014,0.01541042],"category_scores_gemma":[0.003149594,0.0003783767,0.0002480865,0.001643643,0.006297525,0.003752537,0.001761721,0.002669165,0.004535089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008562835,"about_ca_system_score_gemma":0.005471889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02964061,"about_ca_topic_score_gemma":0.04297043,"domain_scores_codex":[0.9987525,0.0002278661,0.0001178662,0.0003155066,0.0003784358,0.0002077761],"domain_scores_gemma":[0.9987189,0.0002785982,0.0001379244,0.00009463201,0.0005811483,0.0001889139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003958511,0.00008351506,0.009044429,0.0003913393,0.00003639745,0.0007606737,0.02156693,0.0005314071,0.001725404,0.6699371,0.1318882,0.1636387],"study_design_scores_gemma":[0.00001627622,0.00004692779,0.008180911,0.0001996402,0.000018313,0.0002650251,0.001835521,0.0001248732,0.001337969,0.02150716,0.9664314,0.00003604319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06483717,0.0258333,0.006681936,0.02119063,0.003225136,0.0001167456,0.001352018,0.0001912834,0.8765718],"genre_scores_gemma":[0.5861443,0.01280158,0.00665796,0.003901482,0.001577628,0.0001496249,0.0009022556,0.0002554361,0.3876098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02964061,"threshold_uncertainty_score":0.06212801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300560427137662,"score_gpt":0.2405238300018408,"score_spread":0.2275182257304642,"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."}}