{"id":"W151224603","doi":"","title":"クモ糸を形成するタンパク質の分子構造に関する赤外分光測定法の確立と配向評価(7.2要旨,7.平成17年度修士論文)","year":2006,"lang":"ja","type":"article","venue":"Canadian parliamentary review","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chemistry; Business; Internal medicine; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004571592,0.0003762869,0.0003906932,0.002643685,0.003983884,0.004058052,0.001112304,0.003279163,0.01035692],"category_scores_gemma":[0.004983582,0.0003359122,0.0005326889,0.002351797,0.003421564,0.001667397,0.0007579196,0.002206435,0.002490817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01700301,"about_ca_system_score_gemma":0.03541329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5699152,"about_ca_topic_score_gemma":0.7587956,"domain_scores_codex":[0.9952171,0.0004167013,0.0001916133,0.000187699,0.003041251,0.0009457495],"domain_scores_gemma":[0.9960142,0.0008448419,0.0002649467,0.00009870404,0.002585168,0.0001921497],"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":[0.0000894798,0.00004736961,0.002717374,0.002919097,0.0000681142,0.0004690226,0.001511912,0.0003582972,0.001940456,0.2695525,0.5062866,0.2140397],"study_design_scores_gemma":[0.000008403393,0.00001864401,0.006231246,0.0009919244,0.00003765008,0.0001436103,0.0009664916,0.00004539055,0.0008364432,0.006758956,0.9839374,0.00002371678],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006763646,0.5381204,0.0009580493,0.1003108,0.004316135,0.00007005425,0.0005270278,0.00003600743,0.348898],"genre_scores_gemma":[0.1932922,0.4935015,0.003330001,0.06947401,0.00291537,0.000121079,0.0005737016,0.00005756364,0.2367347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5699152,"threshold_uncertainty_score":0.8652353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096869599108135,"score_gpt":0.2102991503947712,"score_spread":0.1993304544036898,"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."}}