{"id":"W2469517825","doi":"10.1080/17458927.2016.1194610","title":"‘Sensory Overload’ in Industrial Chicago","year":2016,"lang":"en","type":"article","venue":"The Senses and Society","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sensory system; Business; Psychology; Neuroscience","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":[0.0001171668,0.0000863114,0.0001515906,0.000005298177,0.001257519,0.0000396437,0.00005648061,0.00004672053,0.0002608914],"category_scores_gemma":[0.00002139325,0.00003483952,0.0001594451,0.00002694796,0.0003600171,0.00005153448,0.00004325753,0.0001037265,0.00001753747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784998,"about_ca_system_score_gemma":0.000005193005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007735948,"about_ca_topic_score_gemma":0.0008509447,"domain_scores_codex":[0.9994489,0.00003917011,0.0001243354,0.0001201887,0.0001040191,0.0001633728],"domain_scores_gemma":[0.9996958,0.0001311169,0.0000353888,0.00007975055,0.00002636114,0.00003160657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003692901,0.00008473353,0.001157619,0.0000127357,0.0002828974,0.000005773105,0.6980338,0.000001103415,0.0005729926,0.1234912,0.134946,0.0413742],"study_design_scores_gemma":[0.0008768461,0.00006061048,0.0007669453,0.00003154159,0.00006793007,0.000001325265,0.04190317,0.0000216691,0.00001623978,0.005670248,0.9503341,0.0002493314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405997,0.0003201804,0.000001538805,0.05609424,0.0001749735,0.00006238062,0.00001379209,0.0000233012,0.002709912],"genre_scores_gemma":[0.9669113,0.002108928,0.000004472347,0.0006245316,0.0008158138,0.000003340476,6.427972e-7,0.00000500539,0.02952604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8153881,"threshold_uncertainty_score":0.9671944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596820242566422,"score_gpt":0.2118182936724869,"score_spread":0.1658500912468227,"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."}}