{"id":"W7002515012","doi":"","title":"The Sensing Salon","year":2020,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salon; Sociality; Reading (process); Studio; Politics; Metaphysics; Exhibition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003372853,0.0008603517,0.0004386036,0.0008622055,0.01083622,0.008974077,0.00135469,0.003397801,0.04309346],"category_scores_gemma":[0.007921354,0.0004943158,0.0005877785,0.0005714584,0.01017845,0.008145085,0.01203301,0.005576815,0.01008524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003519535,"about_ca_system_score_gemma":0.005003975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246834,"about_ca_topic_score_gemma":0.009057476,"domain_scores_codex":[0.9962082,0.001581351,0.00008825711,0.0006255786,0.0008840264,0.0006125598],"domain_scores_gemma":[0.9956003,0.001042047,0.0003089408,0.0007858397,0.0006045201,0.001658342],"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":[0.0002226843,0.0001570909,0.001802231,0.0002481964,0.00001274771,0.0007493675,0.09608087,0.0001483045,0.004034641,0.3881785,0.4116267,0.0967387],"study_design_scores_gemma":[0.000009486312,0.00005047946,0.0006327888,0.0001183391,0.000003450109,0.0002144004,0.01535575,0.0001207737,0.0005963253,0.01522618,0.9676501,0.00002186675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03800816,0.003939821,0.01646036,0.1213292,0.01395259,0.0003537171,0.0003286896,0.001321898,0.8043056],"genre_scores_gemma":[0.3451802,0.00177954,0.009809988,0.03684793,0.002252784,0.0003758362,0.0001886985,0.001120299,0.6024447],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04309346,"threshold_uncertainty_score":0.144162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05008738437155284,"score_gpt":0.2255275081923229,"score_spread":0.17544012382077,"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."}}