{"id":"W7146519939","doi":"","title":"鹿屋体育大学グローバルスポーツリーダー育成事業報告　～　Canadaニューイヤーズクラシック・バレーボールトーナメントに参加して　～","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":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.01085925,0.0003342266,0.0005471775,0.006936943,0.003137863,0.02189578,0.00165841,0.00135151,0.02589411],"category_scores_gemma":[0.02642615,0.0005695859,0.0004487898,0.01361303,0.003346596,0.02723474,0.00236012,0.001661198,0.009827545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004580869,"about_ca_system_score_gemma":0.009570028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345021,"about_ca_topic_score_gemma":0.0100916,"domain_scores_codex":[0.9919282,0.002628776,0.001101003,0.001377304,0.002389801,0.000574895],"domain_scores_gemma":[0.9728873,0.007871741,0.003262685,0.004430651,0.009488864,0.002058764],"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":[0.0002085402,0.0001417989,0.03301438,0.0005856949,0.0001173619,0.0001473438,0.008099889,0.001670456,0.001453045,0.5230682,0.1078078,0.3236854],"study_design_scores_gemma":[0.00006726635,0.00006563642,0.02270251,0.0005997054,0.0001970469,0.0003555388,0.01462664,0.00551288,0.005034151,0.1867261,0.7639103,0.0002022606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0795811,0.005772735,0.1472279,0.04167723,0.001294926,0.0005243658,0.01860576,0.005469446,0.6998466],"genre_scores_gemma":[0.786694,0.004475377,0.09913869,0.003989486,0.0008861268,0.0004901824,0.01232628,0.001126675,0.09087303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865498,"threshold_uncertainty_score":0.08662438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158210999819504,"score_gpt":0.2174343666215817,"score_spread":0.2058522566233866,"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."}}