{"id":"W4365420193","doi":"10.38055/sof010109","title":"In Conversation: Deepshikha Kalsi and Sarah Scaturro","year":2023,"lang":"en","type":"article","venue":"Fashion Studies","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Conversation; Psychoanalysis; Psychology; Art; Linguistics; Philosophy","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":[0.0005428895,0.00006734557,0.0001575321,0.00005652367,0.0004733888,0.00001901098,0.00006651905,0.00004309377,0.0000260241],"category_scores_gemma":[0.0002323936,0.00006510025,0.00003377861,0.0005251928,0.0007042703,0.000151526,0.00004174579,0.00007200456,0.0001234954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138452,"about_ca_system_score_gemma":0.00004406322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001543206,"about_ca_topic_score_gemma":0.0008075105,"domain_scores_codex":[0.9992073,0.0001084856,0.0001104834,0.0001706791,0.0002039253,0.0001991382],"domain_scores_gemma":[0.9995706,0.0002120575,0.00004859347,0.00006802095,0.00005701181,0.00004370289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007842683,0.00002476121,0.06275201,0.00003534653,0.00006229413,0.0000161569,0.6357149,0.000007612729,0.0001034512,0.007688091,0.2895452,0.004042301],"study_design_scores_gemma":[0.0002623734,0.00001950275,0.04626751,0.00001769078,0.000009960567,2.252865e-7,0.6083003,0.000009306916,0.000005827661,0.0007063552,0.3442542,0.000146771],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566085,0.002977645,0.000007077423,0.01380886,0.0009824096,0.0001834467,0.000003806414,0.0001607448,0.02526754],"genre_scores_gemma":[0.9860749,0.005909743,0.00006835975,0.0006970121,0.0002230021,0.00002114098,0.000001529133,0.000005449175,0.006998835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05470899,"threshold_uncertainty_score":0.3640972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05753657238846221,"score_gpt":0.3728399841456216,"score_spread":0.3153034117571594,"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."}}