{"id":"W2748589784","doi":"","title":"自動交通旋削体積計数のための革新的な検出器配置【Powered by NICT】","year":2016,"lang":"ja","type":"article","venue":"Journal of Advanced Transportation","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Computer science; Engineering","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":[0.0003469831,0.0002379259,0.0002627639,0.0004902025,0.0009906513,0.0009999975,0.000574145,0.0004104248,0.008183667],"category_scores_gemma":[0.0008075236,0.0001653897,0.0001958438,0.0004135274,0.0005814565,0.0007659084,0.0006293911,0.0005347196,0.003292729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007678625,"about_ca_system_score_gemma":0.0007533568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960836,"about_ca_topic_score_gemma":0.001994375,"domain_scores_codex":[0.9996797,0.00003580378,0.0000240954,0.00005752601,0.0001513019,0.0000515535],"domain_scores_gemma":[0.9996319,0.00005892503,0.00004732556,0.0000501744,0.0001832491,0.00002843521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001049246,0.0002811089,0.01342433,0.0007120363,0.0001037941,0.001813532,0.002347589,0.002615262,0.5716778,0.06131993,0.02690124,0.3177541],"study_design_scores_gemma":[0.00004425607,0.0003750915,0.01086108,0.0001510096,0.0001514973,0.002242532,0.001534233,0.008136034,0.6862266,0.007055591,0.2831322,0.00008983379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5315487,0.008150429,0.0754979,0.002685061,0.002366739,0.0004400075,0.001225033,0.001379894,0.3767062],"genre_scores_gemma":[0.8938175,0.003511014,0.02459532,0.0005730251,0.0003709479,0.000446679,0.0006559085,0.0001472296,0.07588249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008183667,"threshold_uncertainty_score":0.02737707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004916072688546676,"score_gpt":0.2133579776355112,"score_spread":0.2084419049469645,"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."}}