{"id":"W387477988","doi":"","title":"線特徴による自然物画像と人工物画像の識別(6.平成18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":"Business","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":[0.005325624,0.0003393468,0.0003192809,0.001766422,0.0039491,0.003138559,0.001069969,0.003609299,0.01014149],"category_scores_gemma":[0.005786302,0.0003514899,0.0005802734,0.001225312,0.004031668,0.001464845,0.0006947182,0.002820995,0.002830538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107545,"about_ca_system_score_gemma":0.02361507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4663556,"about_ca_topic_score_gemma":0.7065011,"domain_scores_codex":[0.9948983,0.000544939,0.0002649254,0.0003692901,0.002949843,0.0009727086],"domain_scores_gemma":[0.9963977,0.0008867634,0.0002548664,0.0001277149,0.002136396,0.0001965908],"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":[0.00009984199,0.00004937675,0.002115368,0.001949553,0.00008323459,0.0006362803,0.001870471,0.0002440569,0.002985891,0.3320803,0.5120738,0.1458119],"study_design_scores_gemma":[0.00001050366,0.0000220988,0.00521828,0.0005279225,0.00005850366,0.0001539094,0.0006708818,0.00003423048,0.001337571,0.006628145,0.9853124,0.0000254755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01111168,0.2874515,0.001906769,0.137809,0.007131753,0.0001351156,0.0008558329,0.0000575981,0.5535407],"genre_scores_gemma":[0.2585729,0.2074151,0.006312028,0.1293736,0.003765951,0.0002112106,0.0006163894,0.00008177246,0.393651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4663556,"threshold_uncertainty_score":0.9272822,"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."}}