{"id":"W388187422","doi":"10.11485/iteac.2006.0__16-3-1_","title":"16-3 FOP基板を用いたHARP撮像管の試作(第16部門 情報センシング1)","year":2006,"lang":"ja","type":"article","venue":"映像情報メディア学会年次大会講演予稿集 2006","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"HARP; Computer science; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005300976,0.0005974555,0.0003106209,0.0007480333,0.002145139,0.002104483,0.0006358302,0.001561926,0.1502],"category_scores_gemma":[0.001611404,0.0002105744,0.0004790264,0.0005335588,0.001432885,0.001392708,0.001230947,0.001259399,0.06744537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588221,"about_ca_system_score_gemma":0.001848958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005896285,"about_ca_topic_score_gemma":0.004436824,"domain_scores_codex":[0.9994888,0.00005748284,0.00002045355,0.0001032755,0.0002045148,0.0001253879],"domain_scores_gemma":[0.9994435,0.00008151441,0.00002759479,0.0001309864,0.0002561712,0.00006022573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000474537,0.0001409842,0.001375727,0.000242701,0.00002200803,0.0008876939,0.0007570619,0.001212938,0.02139419,0.5295013,0.2095485,0.2344424],"study_design_scores_gemma":[0.00003129082,0.0000858101,0.0007918639,0.00006986619,0.0000148008,0.0004855612,0.0001805524,0.001159623,0.01583051,0.0727974,0.9085224,0.00003031229],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01580252,0.0003838365,0.01881275,0.002162589,0.002228838,0.0001722811,0.001338275,0.00140632,0.9576926],"genre_scores_gemma":[0.1436611,0.0005898838,0.02467081,0.001288167,0.0005869959,0.000158834,0.00153988,0.0006537455,0.8268507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1502,"threshold_uncertainty_score":0.5024691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005611250650331258,"score_gpt":0.1883518395299686,"score_spread":0.1827405888796374,"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."}}