{"id":"W2930036128","doi":"10.1177/0891243219839669","title":"Gender, Cultural Schemas, and Learning to Cook","year":2019,"lang":"en","type":"article","venue":"Gender & Society","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Schema (genetic algorithms); Inequality; Sociology; Qualitative research; Psychology; Social psychology; Gender studies; Developmental psychology; Social science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004291465,0.0002280066,0.0001785026,0.0009018616,0.002285115,0.004610931,0.0005406237,0.0005573294,0.002101348],"category_scores_gemma":[0.005304168,0.0001728655,0.0001868339,0.00073886,0.01608869,0.002870436,0.002045877,0.0008112929,0.0001285102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433346,"about_ca_system_score_gemma":0.001284377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00696877,"about_ca_topic_score_gemma":0.00745332,"domain_scores_codex":[0.9987072,0.0008541192,0.00004227283,0.0000999719,0.0001395518,0.0001569575],"domain_scores_gemma":[0.9971932,0.001565995,0.0004736738,0.000222188,0.0001980076,0.0003469405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005847142,0.00007840534,0.09361093,0.00008760915,0.00003419352,0.0004698914,0.7826521,0.0002445747,0.0005938589,0.09819173,0.001066402,0.02291189],"study_design_scores_gemma":[0.000009788841,0.00008849882,0.06416783,0.0003183842,0.00002669691,0.0006306683,0.86273,0.0003353213,0.0006980382,0.04425316,0.02669672,0.00004483195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542966,0.001298069,0.002023943,0.002472491,0.00003511846,0.00001223654,0.00004374336,0.000009350309,0.03980844],"genre_scores_gemma":[0.9984738,0.0004236851,0.0002924557,0.0001515988,0.000003166416,0.00000443583,0.00001141676,0.000003577987,0.0006357222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00696877,"threshold_uncertainty_score":0.02269566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578284781627763,"score_gpt":0.2398838079709807,"score_spread":0.2041009601547031,"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."}}