{"id":"W7143628627","doi":"10.51072/0000000053","title":"子ども・若者のウエルビーイングと教育福祉","year":2013,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare; Declaration; Poverty; Value (mathematics); Social Welfare; Point (geometry); Basic education","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":[0.002368142,0.0003253279,0.0002949923,0.001578736,0.004082202,0.008217878,0.0008050634,0.001463984,0.008240882],"category_scores_gemma":[0.004086463,0.0001640036,0.0003798398,0.001733499,0.004901332,0.008445631,0.003598043,0.002327512,0.001866271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00374811,"about_ca_system_score_gemma":0.006459278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006956028,"about_ca_topic_score_gemma":0.0078354,"domain_scores_codex":[0.9978355,0.0007833193,0.0001747561,0.0002535863,0.000544006,0.0004089365],"domain_scores_gemma":[0.9967543,0.0007988804,0.0005517305,0.0002685601,0.00128698,0.0003395018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008936298,0.000198581,0.02034947,0.0006955977,0.00001638968,0.00205742,0.02524519,0.0005412709,0.002301323,0.6370257,0.08083599,0.2306437],"study_design_scores_gemma":[0.000009610319,0.00008205257,0.01582005,0.0007534163,0.00002832685,0.002310817,0.06559712,0.001175701,0.002513736,0.1469318,0.7647018,0.00007556428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1289287,0.02036917,0.0878664,0.3639526,0.008261467,0.0003418731,0.0007635692,0.0007479789,0.3887682],"genre_scores_gemma":[0.7439653,0.02300487,0.05264403,0.01827073,0.001686752,0.0003570331,0.0007417325,0.0002445069,0.1590851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008240882,"threshold_uncertainty_score":0.02756846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719367494173921,"score_gpt":0.2381667732918181,"score_spread":0.2209730983500789,"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."}}