{"id":"W4230718020","doi":"10.32920/ryerson.14663007","title":"Buen Provecho: A Story of Latina women, Immigration, And Food","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Immigration; Acculturation; Meaning (existential); Context (archaeology); The Symbolic; Sociology; Consumption (sociology); Field (mathematics); Food studies; Latin Americans; Gender studies; Political science; Geography; Psychology; Social science; Anthropology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000921363,0.001006483,0.0005687246,0.001160172,0.02744334,0.005469503,0.001037484,0.003082713,0.004755597],"category_scores_gemma":[0.001973853,0.0004224847,0.0003779046,0.001835044,0.01553899,0.002935662,0.005040304,0.004342289,0.0005030238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0191656,"about_ca_system_score_gemma":0.006424893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5879389,"about_ca_topic_score_gemma":0.7522065,"domain_scores_codex":[0.9990377,0.0004700289,0.00001725635,0.00006752906,0.0001033709,0.0003041169],"domain_scores_gemma":[0.9992259,0.0002824698,0.00005884024,0.00002361966,0.00009669073,0.0003125251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003719072,0.00001412465,0.001450876,0.00003870662,0.00000319978,0.001857385,0.9870369,0.00001533901,0.000366587,0.00422083,0.003256951,0.001701793],"study_design_scores_gemma":[0.000002584579,0.00001338149,0.001391632,0.00008350187,0.000004056484,0.0003656687,0.9398251,0.0000176753,0.00008146672,0.000290193,0.0579148,0.00001001859],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8361214,0.007409825,0.0006650809,0.0482049,0.0009629967,0.00009109048,0.0003967574,0.00005671628,0.1060912],"genre_scores_gemma":[0.9445533,0.003893218,0.0004399059,0.005329966,0.0001683145,0.00007258181,0.0001174576,0.00008771108,0.04533747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5879389,"threshold_uncertainty_score":0.8289756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536824756205145,"score_gpt":0.2004101673875327,"score_spread":0.1850419198254813,"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."}}