{"id":"W2972333189","doi":"","title":"Playing with Normalcy: A Disability Material Culture Analysis","year":2019,"lang":"en","type":"article","venue":"City Research Online (City University London)","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Normative; License; Hegemony; Sociology; Attribution; Scope (computer science); Aesthetics; Gender studies; Psychology; Political science; Social psychology; Law; Politics; Art; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00172145,0.0001624488,0.0003614803,0.0002331802,0.00161796,0.0002287946,0.0007330542,0.000209106,0.00193105],"category_scores_gemma":[0.0001818346,0.0001297667,0.0002144583,0.002636629,0.002419189,0.0009820022,0.0003018953,0.0005635374,0.00004552523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006777116,"about_ca_system_score_gemma":0.0003599655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04139033,"about_ca_topic_score_gemma":0.1238654,"domain_scores_codex":[0.995993,0.001080389,0.0001780358,0.0006534019,0.001396354,0.0006987778],"domain_scores_gemma":[0.9981103,0.0002612429,0.00007965692,0.0005647402,0.0006262282,0.000357837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007412811,0.0008495859,0.9783157,0.00004809408,0.0003099073,0.00002101112,0.005254675,0.0001092844,0.0002118475,0.01318861,0.0002806196,0.0006694255],"study_design_scores_gemma":[0.002133101,0.0004327558,0.8518306,0.00004930537,0.0003876875,0.000001832949,0.02965174,0.001176742,0.0002066608,0.001536577,0.1118987,0.0006943113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772567,0.000005036166,0.00009409525,0.0028509,0.00009602642,0.0007017356,0.0003322416,0.000106934,0.01855633],"genre_scores_gemma":[0.9896606,0.00005848312,0.000557674,0.00002285677,0.0001819486,0.0000010115,0.0003087188,0.000006523025,0.009202168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264851,"threshold_uncertainty_score":0.9996818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05143873553080051,"score_gpt":0.3629927438677605,"score_spread":0.31155400833696,"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."}}