{"id":"W1918467556","doi":"10.5539/mas.v9n12p77","title":"Social Integration of Disabled People in Russia Using Virtual Computer Technologies","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disabled people; Life span; Psychology; Renting; Literacy; Social integration; Quality of life (healthcare); Quality (philosophy); Process (computing); Gerontology; Computer science; Sociology; Applied psychology; Political science; Pedagogy; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000516217,0.00007776605,0.0001173848,0.000265349,0.0001254941,0.00008994376,0.0008188444,0.00004543018,6.372659e-7],"category_scores_gemma":[0.00001282215,0.00006912347,0.00001280915,0.00159211,0.0002731844,0.0004461059,0.0002788355,0.00009459411,0.000003193649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235693,"about_ca_system_score_gemma":0.0003341713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000204939,"about_ca_topic_score_gemma":0.00003749027,"domain_scores_codex":[0.9989302,0.000009337306,0.0002005569,0.0002918108,0.0003856679,0.0001824802],"domain_scores_gemma":[0.9994681,0.00002347093,0.00009220839,0.0002335438,0.0001582141,0.00002446699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000269479,0.0001003771,0.0001768419,0.000002617561,0.000001085572,1.707732e-7,0.005280413,0.00148946,0.06678923,0.8896646,0.00003728536,0.03645521],"study_design_scores_gemma":[0.0001717401,0.00003333807,0.004689448,0.000008633248,8.762846e-7,0.000001718773,0.002193739,0.8903878,0.007531767,0.09485843,0.000008686694,0.0001138642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3918875,0.000007052711,0.6061948,0.0009968894,0.00007769748,0.00006196721,3.83019e-7,0.0000534391,0.0007202339],"genre_scores_gemma":[0.9395407,9.91022e-7,0.06038693,0.00002601318,0.00002249423,0.00001208248,9.067784e-7,0.000002649489,0.00000721351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8888983,"threshold_uncertainty_score":0.2818774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08461956910269147,"score_gpt":0.3227528403040383,"score_spread":0.2381332712013468,"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."}}