{"id":"W7145742795","doi":"","title":"第２回火星飛行機高高度飛行試験(MABE-2)の結果報告（速報）","year":2023,"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":"Glenrose Rehabilitation Hospital","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005020156,0.0007014388,0.0005897136,0.000519829,0.001271118,0.0002132024,0.0008379565,0.0006279284,0.0003451717],"category_scores_gemma":[0.0005710578,0.0007630502,0.0002469196,0.001691609,0.001086924,0.001563204,0.0005063158,0.00112879,0.002722009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907821,"about_ca_system_score_gemma":0.000578574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004889508,"about_ca_topic_score_gemma":0.0001351075,"domain_scores_codex":[0.9961195,0.00008916549,0.0009505798,0.0009392788,0.0008487175,0.00105278],"domain_scores_gemma":[0.997618,0.0002976443,0.0001214272,0.001442514,0.0002320832,0.000288318],"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":[0.000203304,0.0002123638,0.002537306,0.00110823,0.0007960409,0.004776337,0.0008746732,0.01923704,0.01237284,0.8647606,0.09209743,0.001023772],"study_design_scores_gemma":[0.002019112,0.0003295016,0.01101334,0.001637895,0.0003532654,0.001290122,0.00257664,0.01720888,0.01449686,0.0147131,0.9316576,0.002703751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5420005,0.02458626,0.007267419,0.002878713,0.05439399,0.001740701,0.01112894,0.01222978,0.3437738],"genre_scores_gemma":[0.9884122,0.001967527,0.001436605,0.0001094122,0.002374321,0.0001383757,0.002539778,0.00008379081,0.002937977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8500475,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809263430201767,"score_gpt":0.2447120987374153,"score_spread":0.2266194644353976,"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."}}