{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005969158,0.0007490327,0.0005925153,0.003944492,0.002123221,0.006368949,0.0009506521,0.000729519,0.06594755],"category_scores_gemma":[0.01128835,0.0005000586,0.0004401218,0.007709774,0.0008729297,0.002478268,0.002090167,0.001033376,0.06583693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00674993,"about_ca_system_score_gemma":0.02638489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1114897,"about_ca_topic_score_gemma":0.1248154,"domain_scores_codex":[0.9958372,0.0002861881,0.000386378,0.0003777506,0.002561288,0.000551216],"domain_scores_gemma":[0.9879975,0.001050462,0.0007317333,0.000559635,0.007803626,0.001856991],"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":[0.000297684,0.0001037434,0.0142207,0.0003860901,0.0000136618,0.00009010189,0.0003863284,0.0002167203,0.000547369,0.005635067,0.9330542,0.04504835],"study_design_scores_gemma":[0.0000228332,0.00004101581,0.03520848,0.0002725214,0.00001571555,0.00005044227,0.000684753,0.0001014001,0.002744982,0.0008579562,0.9599698,0.00002995817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01722748,0.003737739,0.003400538,0.006627883,0.00467955,0.001532534,0.4896122,0.002898269,0.4702838],"genre_scores_gemma":[0.03332489,0.005432033,0.007526693,0.0008875884,0.000585468,0.001424623,0.2623683,0.001205736,0.6872448],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1114897,"threshold_uncertainty_score":0.2216815,"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."}}