{"id":"W3172923297","doi":"10.1177/14695405211022074","title":"A model who looks like me: Communicating and consuming representations of disability","year":2021,"lang":"en","type":"article","venue":"Journal of Consumer Culture","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diversity (politics); Representation (politics); Sociocultural evolution; Sociology; Process (computing); Advertising; Public relations; Business; Political science; Computer science; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004692103,0.00007270933,0.0002349669,0.00001347814,0.0003337121,0.00007318806,0.0001619027,0.00009408886,0.00008673955],"category_scores_gemma":[0.0005321035,0.00005550141,0.00008290572,0.0001641815,0.0005509957,0.0002040493,0.00008453208,0.000305348,4.123894e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006126472,"about_ca_system_score_gemma":0.0003063751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003734178,"about_ca_topic_score_gemma":0.001581639,"domain_scores_codex":[0.9988953,0.0001836589,0.0004217479,0.00009016944,0.0002842118,0.0001248879],"domain_scores_gemma":[0.9985816,0.0001473609,0.0003508277,0.0001464894,0.0006611113,0.0001126404],"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":[0.00008313224,0.0004168047,0.3558927,0.0001324799,0.0007027579,0.00004395164,0.2175868,0.000217135,0.01078358,0.009634125,0.3605374,0.04396906],"study_design_scores_gemma":[0.001380819,0.00004458173,0.01593709,0.0006181845,0.0002960641,0.0001373666,0.2071793,0.0005577964,0.002602881,0.003256492,0.7675945,0.0003949243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938926,0.01627817,0.0002181523,0.02765877,0.0002658438,0.0002336315,0.00002725609,0.00001845207,0.01637372],"genre_scores_gemma":[0.9827381,0.002459069,0.005008677,0.0001746678,0.00005418992,0.000001645046,0.000002668056,0.000004649706,0.00955635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407057,"threshold_uncertainty_score":0.2566678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07083164209263748,"score_gpt":0.350904385202102,"score_spread":0.2800727431094645,"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."}}