{"id":"W7146432170","doi":"","title":"平成23年度黎明研究成果報告集","year":2012,"lang":"en","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Atomic Energy Agency; National Science Foundation","keywords":"Process (computing); Work (physics); Scope (computer science); Identification (biology); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002718143,0.001678775,0.001574831,0.000870326,0.001640108,0.0005456708,0.001539652,0.001215315,0.001240178],"category_scores_gemma":[0.004744995,0.001662361,0.0007438714,0.001239486,0.001713262,0.00303091,0.001475598,0.00233828,0.01411157],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006152173,"about_ca_system_score_gemma":0.01768793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00623027,"about_ca_topic_score_gemma":0.0004862441,"domain_scores_codex":[0.9858994,0.000288533,0.002180262,0.001988993,0.007850855,0.001791992],"domain_scores_gemma":[0.9896619,0.0003903504,0.001656101,0.003653636,0.003549798,0.001088211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000296895,0.000937017,0.008526728,0.001233749,0.001253809,0.002488684,0.000122952,0.00006107669,0.004960658,0.039472,0.9395252,0.001121205],"study_design_scores_gemma":[0.0005649282,0.00005082223,0.003094443,0.001445036,0.0007947625,0.00624333,0.00003175401,0.000009538313,0.002853525,0.00009370212,0.9830291,0.001789032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003522674,0.02242273,0.001210593,0.0001512334,0.08078053,0.001790892,0.05101436,0.00220694,0.8369001],"genre_scores_gemma":[0.4250764,0.005226378,0.01727075,0.0004709826,0.1729518,0.00245727,0.2488188,0.002503506,0.125224],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.711676,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0952062558428719,"score_gpt":0.3327655771162849,"score_spread":0.237559321273413,"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."}}