{"id":"W7145502945","doi":"","title":"平成25-26年度黎明研究成果報告集","year":2016,"lang":"en","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of International Science and Engineering; Division of Materials Research; Japan Atomic Energy Agency; McMaster University; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Grand Équipement National De Calcul Intensif; National Science Foundation","keywords":"Set (abstract data type); Frontier; Center (category theory); Research center; Government (linguistics)","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00230471,0.001791217,0.001695593,0.0009776128,0.001698152,0.0005908597,0.001872009,0.001239191,0.001286642],"category_scores_gemma":[0.006992031,0.001504556,0.0008263558,0.001070154,0.002300656,0.002583657,0.001591733,0.001735988,0.01597971],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007362644,"about_ca_system_score_gemma":0.02479635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390299,"about_ca_topic_score_gemma":0.0005644718,"domain_scores_codex":[0.9847383,0.0003040625,0.002422389,0.002732006,0.008176171,0.001627075],"domain_scores_gemma":[0.9880113,0.0005853736,0.001832134,0.00415839,0.004496225,0.0009165798],"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":[0.0003945482,0.000474031,0.003007061,0.0008294982,0.001154966,0.005236628,0.00005100294,0.0000216335,0.0104386,0.04039064,0.9361941,0.001807255],"study_design_scores_gemma":[0.0009241147,0.0000806445,0.001243239,0.003491254,0.0005028235,0.005671338,0.00001803543,0.000005892975,0.004673077,0.0003385514,0.9811464,0.001904612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002171904,0.008732464,0.002581964,0.000382482,0.06325367,0.001795773,0.08739116,0.002343501,0.8313471],"genre_scores_gemma":[0.2185532,0.01168294,0.01502414,0.0007301732,0.1865592,0.00370594,0.1675178,0.003612864,0.3926138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4387332,"threshold_uncertainty_score":0.9996263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553053267816699,"score_gpt":0.329565100725623,"score_spread":0.274034568047456,"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."}}