{"id":"W3161377726","doi":"","title":"スポーツとフーコー――権力、知、自己の変革: スポーツとフーコー――権力、知、自己の変革","year":2021,"lang":"ja","type":"article","venue":"","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002149518,0.0003562192,0.0001918117,0.0007906488,0.004623442,0.006595155,0.0006538056,0.002240449,0.02160084],"category_scores_gemma":[0.005058954,0.0002707044,0.0002456954,0.0006372656,0.01073953,0.004941512,0.001615118,0.002521157,0.003920882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00381087,"about_ca_system_score_gemma":0.00497191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113487,"about_ca_topic_score_gemma":0.01086224,"domain_scores_codex":[0.9985945,0.000339454,0.00007740817,0.0003090424,0.0005073452,0.0001722693],"domain_scores_gemma":[0.9980547,0.0006181523,0.0002084384,0.0001734327,0.0007206087,0.0002245837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002106017,0.00002603363,0.0009203744,0.00004824501,0.000008206278,0.0001400825,0.007156624,0.0001385457,0.0005382738,0.9593459,0.00801048,0.02364608],"study_design_scores_gemma":[0.00001703481,0.00006361034,0.004641958,0.0002099352,0.00002894595,0.00040395,0.01421831,0.0004598666,0.002890981,0.4354994,0.5415114,0.00005455335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0300864,0.002627246,0.01591264,0.01806765,0.0009917098,0.00008944662,0.00009843277,0.0000503493,0.9320763],"genre_scores_gemma":[0.7237044,0.002174951,0.01170091,0.004254006,0.000556097,0.0001101283,0.00007677249,0.0000837661,0.2573389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02160084,"threshold_uncertainty_score":0.07226199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009457798080990225,"score_gpt":0.203842827377742,"score_spread":0.1943850292967517,"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."}}