{"id":"W626258382","doi":"10.20550/jiebiomassronbun.3.0_86","title":"P-217 リグニン/ポリプロピレン混合多孔性炭素繊維の表面性状(ポスター発表)","year":2008,"lang":"ja","type":"article","venue":"Medical Entomology and Zoology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine","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":[0.0004363878,0.0003329799,0.0001865343,0.0004952677,0.001148799,0.001952178,0.0004334166,0.00105878,0.1964747],"category_scores_gemma":[0.0009744699,0.0001503,0.0002400068,0.0004006829,0.0008966937,0.0009726366,0.0005787268,0.001048529,0.08411349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008080732,"about_ca_system_score_gemma":0.001050804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004528517,"about_ca_topic_score_gemma":0.005636286,"domain_scores_codex":[0.9997969,0.00002253729,0.00001606973,0.00003277905,0.0001025564,0.00002913895],"domain_scores_gemma":[0.9996381,0.00006895459,0.0000301398,0.00003527641,0.0001747061,0.00005287461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003467553,0.000166399,0.001907486,0.0004278076,0.00001876212,0.0008884916,0.0004160212,0.0001950474,0.005795249,0.07225033,0.6100479,0.3075398],"study_design_scores_gemma":[0.00001298923,0.00007055749,0.001848329,0.00008964182,0.00001012355,0.0004400143,0.0002288313,0.0001388752,0.003510846,0.009530372,0.9841099,0.000009491473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007049763,0.002334434,0.002157889,0.007571407,0.009743857,0.0001296992,0.0006618547,0.0002621324,0.9700889],"genre_scores_gemma":[0.03632994,0.001770353,0.001997543,0.001559793,0.002274829,0.00004164854,0.0003978181,0.0001079104,0.9555202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1964747,"threshold_uncertainty_score":0.6572735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127580170469944,"score_gpt":0.226670374260563,"score_spread":0.2153945725558635,"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."}}