{"id":"W7146840049","doi":"","title":"「米国の対外政策に影響を与える国内的諸要因」(平成28年度 米国研究会)","year":2017,"lang":"ja","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Clinton Foundation; Queen's University; McGill University; Consortium canadien en neurodégénérescence associée au vieillissement; U.S. Department of Commerce","keywords":"","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":[0.00816611,0.0005321956,0.0006451255,0.004673087,0.003459141,0.008197205,0.001179754,0.001315477,0.0832687],"category_scores_gemma":[0.01996692,0.0005850066,0.0006051066,0.005722642,0.001931297,0.006338975,0.002616424,0.001605904,0.07692778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628499,"about_ca_system_score_gemma":0.008614738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071713,"about_ca_topic_score_gemma":0.01949691,"domain_scores_codex":[0.989389,0.000957606,0.0009355462,0.001002887,0.006566796,0.001148191],"domain_scores_gemma":[0.9738028,0.004638565,0.001689413,0.004000448,0.01382473,0.002044119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005833652,0.000556215,0.04358022,0.0003878338,0.00003428794,0.0003638396,0.001346646,0.0005035607,0.004299074,0.05980502,0.7309748,0.1575651],"study_design_scores_gemma":[0.00007404755,0.0001455959,0.03900503,0.0001708647,0.00006158278,0.0008480033,0.001871076,0.001057556,0.03070833,0.011068,0.9149079,0.00008197677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06370749,0.001806847,0.02428536,0.01577943,0.002284688,0.001228399,0.09638856,0.007325953,0.7871934],"genre_scores_gemma":[0.2890956,0.003662722,0.06136828,0.002668917,0.001690554,0.001084961,0.14896,0.001894941,0.489574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0832687,"threshold_uncertainty_score":0.2785615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971194861110643,"score_gpt":0.3343137739412835,"score_spread":0.2746018253301771,"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."}}