{"id":"W1575262876","doi":"10.15353/cfs-rcea.v2i1.56","title":"Borders, boundaries, and becoming food studies: Looking back, pushing forward","year":2015,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Wilfrid Laurier University; Queen's University","funders":"","keywords":"Ninth; Field (mathematics); State (computer science); Association (psychology); Food studies; Economic geography; Sociology; Political science; Regional science; Geography; Epistemology; Computer science; Anthropology; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000529922,0.000316378,0.0004275322,0.00006526466,0.001098056,0.0002869495,0.0001911346,0.0001144771,0.00001834418],"category_scores_gemma":[0.0003200962,0.0001840207,0.00008312007,0.0004073873,0.0003635063,0.0004673556,0.00009771725,0.0001606809,0.000006573287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079772,"about_ca_system_score_gemma":0.0001374761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1111908,"about_ca_topic_score_gemma":0.9897944,"domain_scores_codex":[0.9981545,0.0001235026,0.0003583073,0.0004942094,0.0001239277,0.0007456061],"domain_scores_gemma":[0.9983541,0.0002411088,0.0001488112,0.00009178551,0.0004164279,0.0007477406],"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":[0.0003653927,0.0003112344,0.07857055,0.001646908,0.01325211,0.001038781,0.5376938,0.0002247389,0.01104774,0.05994963,0.08830806,0.207591],"study_design_scores_gemma":[0.001224745,0.002549661,0.01556872,0.0004586288,0.0003232435,0.0001856958,0.2535804,0.00002906052,0.0003057363,0.006257101,0.7184476,0.001069431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777519,0.01535758,0.000001355186,0.005035312,0.0004306689,0.0003710295,0.0001294932,0.00004303194,0.0008797026],"genre_scores_gemma":[0.9976254,0.0005458684,0.0002289324,0.0007793221,0.0003156781,0.00005401878,0.000118851,0.000006587325,0.0003253281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8786037,"threshold_uncertainty_score":0.8947279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08435223422176338,"score_gpt":0.2658498537864447,"score_spread":0.1814976195646813,"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."}}