{"id":"W3217070617","doi":"10.3917/dm.103.0159","title":"10.3917/dm.103.0159","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Social Representations and Identity","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market segmentation; Food market; Business; Marketing; Artificial intelligence; Computer science; Geography; Agriculture","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000802264,0.00007066037,0.00009862764,0.00004923874,0.00008628789,0.00003547768,0.0001399894,0.00005757151,0.9988046],"category_scores_gemma":[0.00002882504,0.00007581948,0.00005505891,0.0002161667,0.00002787933,0.00006038618,0.00001938148,0.00006387297,0.9953427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002160908,"about_ca_system_score_gemma":0.00001197665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004597716,"about_ca_topic_score_gemma":0.000001005537,"domain_scores_codex":[0.9993413,0.00005189753,0.0001214861,0.0001831387,0.000109659,0.0001924875],"domain_scores_gemma":[0.9995548,0.0000381981,0.00001836275,0.0002645714,0.00003451446,0.00008962513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003268442,0.00006280372,0.000008785601,6.285723e-7,0.0000203993,0.000005570676,0.0001093823,0.000004383767,0.00001369457,0.00002924018,0.587733,0.4119794],"study_design_scores_gemma":[0.0001964321,0.00005153974,0.004873815,0.000001615259,0.0000119938,0.000003014797,0.00001373996,0.000006015183,0.000007402404,0.0000652897,0.9946807,0.00008846109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01887763,0.00004485098,0.000001452898,0.0002542701,0.00001456284,0.000139425,0.00001020199,0.00008778826,0.9805698],"genre_scores_gemma":[0.004484271,2.612323e-7,0.00003195322,0.00008937965,0.0002165688,0.00003136619,0.00001143395,0.00001474202,0.99512],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.411891,"threshold_uncertainty_score":0.3091829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494870878366192,"score_gpt":0.2898265511495541,"score_spread":0.2748778423658922,"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."}}