{"id":"W6925973559","doi":"10.18910/56253","title":"トロントでの転機","year":2016,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009998054,0.0006234115,0.0003035213,0.0007547792,0.006079498,0.003901049,0.0008289594,0.001405995,0.0892561],"category_scores_gemma":[0.006473072,0.0003572903,0.0003376344,0.0004992099,0.002649228,0.003591943,0.002539872,0.004153472,0.06112855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042238,"about_ca_system_score_gemma":0.001747263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212732,"about_ca_topic_score_gemma":0.01672203,"domain_scores_codex":[0.9985897,0.000429089,0.00004369951,0.0002584715,0.0004754935,0.000203541],"domain_scores_gemma":[0.9978034,0.000238648,0.00013997,0.0002030158,0.001095357,0.000519535],"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":[0.0002078417,0.00007651651,0.004212372,0.0001930745,0.00002359945,0.00295856,0.07382931,0.0001666109,0.006884178,0.06583873,0.7128663,0.1327428],"study_design_scores_gemma":[0.000003297792,0.0000194532,0.0009180482,0.00008180726,0.000005177863,0.00167956,0.01543592,0.00009571273,0.0006527832,0.003480133,0.977599,0.0000290875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04322844,0.00288503,0.02100271,0.08369219,0.01074174,0.0002285593,0.001002183,0.002361716,0.8348574],"genre_scores_gemma":[0.1464578,0.001572188,0.008615997,0.02138892,0.0007099611,0.000106494,0.0008118142,0.0008325412,0.8195043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9878727,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580569893708496,"score_gpt":0.260597535282951,"score_spread":0.234791836345866,"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."}}