{"id":"W4403330509","doi":"10.7202/1113958ar","title":"Introduction","year":2024,"lang":"en","type":"article","venue":"Ethnologies","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005597408,0.00004908538,0.00004398893,0.000005172733,0.00005979115,0.00006035085,0.00007816916,0.00006191544,0.0009431851],"category_scores_gemma":[0.00002844513,0.0000136028,0.00003809408,0.0001838041,0.0000341918,0.00009516719,0.00003211006,0.00009793142,0.0005415027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006869598,"about_ca_system_score_gemma":0.00000146173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003348405,"about_ca_topic_score_gemma":0.00005379239,"domain_scores_codex":[0.9996432,0.00001148372,0.00005100607,0.0001506225,0.00004725617,0.00009644009],"domain_scores_gemma":[0.9999073,0.00004088351,0.000005890437,0.00002399602,0.000009937262,0.00001204401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003073038,0.0000105008,0.00006978099,0.000004480765,0.00001006759,0.00002203372,0.000159654,0.000001570162,0.1417131,0.0051187,0.3454228,0.5074642],"study_design_scores_gemma":[0.000007840258,0.0000653146,0.004221238,0.000004564376,0.000003650444,0.00001341574,0.000520808,0.00001368747,0.005924169,0.005375159,0.9837896,0.00006057822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603724,0.003863539,0.000006594539,0.1266458,0.001088328,0.00005790105,0.00000540515,0.001086939,0.00687302],"genre_scores_gemma":[0.988342,0.0001398392,0.00007254536,0.00008460633,0.002475243,0.000006625851,0.00002214843,2.82235e-7,0.008856743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6383668,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238340742082673,"score_gpt":0.2433975781451642,"score_spread":0.2210141707243375,"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."}}