{"id":"W339443802","doi":"10.11538/ekitou.2003.0_177","title":"2C05 光応答性液晶を導入した逆オパールの光学特性(フォトニクス・光デバイス)","year":2003,"lang":"ja","type":"article","venue":"日本液晶学会討論会講演予稿集 2003年 日本液晶学会討論会","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","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":[0.001200875,0.0006752451,0.0003524,0.002393286,0.003305522,0.006947979,0.001033511,0.003678105,0.226086],"category_scores_gemma":[0.002647366,0.0002342039,0.0004415573,0.002179209,0.001543294,0.001911746,0.001496754,0.001712603,0.06485182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005066085,"about_ca_system_score_gemma":0.004711904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03207604,"about_ca_topic_score_gemma":0.03180226,"domain_scores_codex":[0.9985348,0.0001848849,0.00005700601,0.0002159484,0.0007726317,0.0002347153],"domain_scores_gemma":[0.9985348,0.0001530614,0.0000549209,0.0001578436,0.0009304007,0.0001690905],"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":[0.00007795382,0.00006659494,0.0004970667,0.0001249699,0.00001062991,0.0001753004,0.0005128639,0.0003545404,0.001138011,0.5437354,0.3762863,0.07702041],"study_design_scores_gemma":[0.00000946078,0.00002301327,0.0009923383,0.0000624168,0.000006526777,0.0001134127,0.0001694491,0.0002259288,0.0008158266,0.02008673,0.9774808,0.00001415527],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002187225,0.000426514,0.001450786,0.00238053,0.00165693,0.00004071997,0.0005806562,0.0001099569,0.9911668],"genre_scores_gemma":[0.03872537,0.0006155338,0.003470466,0.001083342,0.0005904207,0.00009309377,0.000775412,0.0001301083,0.9545162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.226086,"threshold_uncertainty_score":0.756333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008822006102716608,"score_gpt":0.1998457158720005,"score_spread":0.1910237097692839,"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."}}