{"id":"W2944757344","doi":"10.6000/2292-2598.2019.07.01.4","title":"Social Issues of People with Special Needs in Modern Mass Media","year":2019,"lang":"en","type":"article","venue":"Journal of Intellectual Disability - Diagnosis and Treatment","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass media; Social media; Sociology; Media studies; Computer science; Business; Advertising; World Wide Web","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":[0.0004720123,0.0001575333,0.0005554841,0.0000977313,0.0001062643,0.00004405693,0.0001590522,0.0001232603,0.00085029],"category_scores_gemma":[0.0008246489,0.0001107475,0.0001657942,0.000314782,0.0007402219,0.0001542089,0.00002634585,0.0001593286,0.000006577597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007220714,"about_ca_system_score_gemma":0.0001683631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052377,"about_ca_topic_score_gemma":0.006055086,"domain_scores_codex":[0.9983089,0.0002530532,0.0004888376,0.000156091,0.0005057352,0.0002873766],"domain_scores_gemma":[0.997018,0.002420482,0.0001784349,0.000106901,0.0001343512,0.0001417935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002169393,0.001212981,0.8084316,0.00001829475,0.0001023953,0.000003759216,0.1631665,0.00001838576,0.000006002173,0.01805542,0.0001605627,0.008607092],"study_design_scores_gemma":[0.003669472,0.003315645,0.731734,0.0002270611,0.0002548427,0.000006548935,0.1830428,0.0002902682,0.0004588547,0.0739915,0.002526482,0.0004825447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924126,0.0002481412,0.00001487984,0.002806229,0.0001970492,0.0002769002,0.00001506305,0.000005567173,0.004023555],"genre_scores_gemma":[0.9980404,0.001053738,0.0001981237,0.00002290268,0.0005881534,0.00001537809,0.000001594812,0.00001060021,0.00006906669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07669763,"threshold_uncertainty_score":0.9310079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297651762428289,"score_gpt":0.3256862349431339,"score_spread":0.295921058700305,"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."}}