{"id":"W259656431","doi":"","title":"IVRC & Laval Virtual 体験記","year":2009,"lang":"ja","type":"article","venue":"ヒューマンインタフェース学会誌 = Journal of Human Interface Society : human interface","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001623434,0.001587899,0.002220674,0.0004942789,0.001079419,0.0004985554,0.003143931,0.001520595,0.002836033],"category_scores_gemma":[0.0001197716,0.001613663,0.002233999,0.0005721811,0.001294937,0.00144419,0.0004034135,0.006007886,0.0003392301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009468936,"about_ca_system_score_gemma":0.0001917933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004670109,"about_ca_topic_score_gemma":0.00006661284,"domain_scores_codex":[0.992364,0.0003339997,0.003423253,0.0009762943,0.001146386,0.001756012],"domain_scores_gemma":[0.9957969,0.0002175407,0.001307428,0.001366771,0.0007281952,0.0005831806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005233318,0.001829775,0.0003844985,0.0005709549,0.004761588,0.000368382,0.05521622,0.01570194,0.6417177,0.0431425,0.2331068,0.002676294],"study_design_scores_gemma":[0.02433135,0.07007042,0.01352481,0.01486885,0.004754457,0.004820124,0.1853021,0.007937197,0.4896567,0.1128942,0.05859812,0.01324157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449095,0.01813628,0.006730485,0.002059637,0.002597319,0.000520368,0.00006925595,0.0006179023,0.0243593],"genre_scores_gemma":[0.9896742,0.001196487,0.0009740631,0.0002793095,0.001185033,0.000006012642,0.000009919502,0.0001885959,0.006486407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1745087,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380617534870367,"score_gpt":0.2743751487474579,"score_spread":0.2605689733987542,"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."}}