{"id":"W2469385214","doi":"","title":"国際スポーツ・イベントによる主体化 : 一九三二年のロサンゼルス・オリンピックと 田村（佐藤）俊子「侮蔑」","year":2016,"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":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004852928,0.0009292812,0.0007482576,0.0003806651,0.001170473,0.0001842003,0.001085448,0.0008193065,0.0008942087],"category_scores_gemma":[0.0007757749,0.0007648465,0.0003184099,0.0006826242,0.001847266,0.00245755,0.0005239854,0.0009057837,0.00120096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000747578,"about_ca_system_score_gemma":0.0008004109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005800534,"about_ca_topic_score_gemma":0.0002715164,"domain_scores_codex":[0.9953117,0.0001291703,0.001215961,0.001212961,0.000946143,0.001184097],"domain_scores_gemma":[0.99663,0.000470034,0.0002016069,0.00192954,0.0003658464,0.0004029472],"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":[0.0003781065,0.0003596844,0.003994862,0.000666281,0.0008755655,0.00213164,0.0004456534,0.0007687061,0.04912323,0.8969377,0.03984962,0.004468987],"study_design_scores_gemma":[0.003889028,0.0004925805,0.009862926,0.003946342,0.0005488371,0.00232085,0.001046148,0.0008925258,0.04972406,0.01749629,0.9062241,0.003556362],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4291167,0.04172623,0.05128911,0.007319706,0.0553518,0.002246758,0.01624206,0.005904708,0.390803],"genre_scores_gemma":[0.9866604,0.002454021,0.003143059,0.0001038608,0.002779297,0.0001251777,0.0005755302,0.00008802582,0.004070642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8794414,"threshold_uncertainty_score":0.9995767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304771384823918,"score_gpt":0.2263667851798397,"score_spread":0.2133190713316005,"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."}}