{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009209383,0.0007605057,0.0007198498,0.005004836,0.002831618,0.008878028,0.001134504,0.001171198,0.1184606],"category_scores_gemma":[0.01507178,0.0006736086,0.0008000497,0.009384536,0.001205363,0.003390194,0.002296175,0.00177226,0.1057075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005202579,"about_ca_system_score_gemma":0.0227035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05154151,"about_ca_topic_score_gemma":0.052364,"domain_scores_codex":[0.9904661,0.000948436,0.0004202703,0.0006567676,0.006429191,0.001079298],"domain_scores_gemma":[0.9776191,0.002793909,0.0008752816,0.001726132,0.01433752,0.002648168],"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":[0.0004273006,0.0001964541,0.008846704,0.0006481665,0.00002147535,0.0001199062,0.0008880965,0.0004399454,0.001727982,0.01687617,0.7905297,0.1792782],"study_design_scores_gemma":[0.00002179602,0.00008389082,0.01853374,0.000255929,0.00003046811,0.00008075961,0.001057957,0.0001983908,0.005006735,0.001682081,0.9730069,0.00004142312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01514895,0.004129006,0.008675944,0.0146057,0.003318096,0.001796533,0.1369268,0.003405933,0.8119931],"genre_scores_gemma":[0.04146359,0.00713301,0.01945057,0.001706922,0.0006177214,0.001287838,0.1148175,0.00188473,0.8116381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1184606,"threshold_uncertainty_score":0.3962902,"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."}}