{"id":"W2810142843","doi":"10.7202/1059808ar","title":"Quand l’aliment nourrit l’imaginaire","year":2019,"lang":"fr","type":"article","venue":"Captures","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0002649135,0.0002015692,0.0002972291,0.00003114892,0.0004204555,0.0001007498,0.000257343,0.0001934552,0.003060229],"category_scores_gemma":[0.00005734754,0.0001977843,0.0001723068,0.000247213,0.0007979622,0.0001816572,0.00007607712,0.0002276145,0.002329592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520619,"about_ca_system_score_gemma":0.0001173147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412453,"about_ca_topic_score_gemma":0.002682704,"domain_scores_codex":[0.9983638,0.0001503602,0.0001858377,0.0003082639,0.0004255748,0.0005661713],"domain_scores_gemma":[0.9993652,0.0001129462,0.00008408348,0.0001845641,0.00008884494,0.0001643702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005549894,0.00009510459,0.005189975,0.00005883014,0.000100174,0.00001399857,0.03067799,0.000009181012,0.00003479249,0.4929324,0.4619929,0.008889117],"study_design_scores_gemma":[0.0002708451,0.00005915011,0.005533658,0.00008299946,0.00004742312,8.953564e-7,0.007249179,0.00002064278,0.00003273391,0.01071956,0.975718,0.0002649573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0430247,0.2987764,0.00001226081,0.03383892,0.01198446,0.0003402581,0.00002308473,0.00006937139,0.6119305],"genre_scores_gemma":[0.7242198,0.004542578,0.00007050207,0.001357445,0.001252132,0.00001056993,0.000003503953,0.00001606543,0.2685274],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6811951,"threshold_uncertainty_score":0.9984472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833446783753127,"score_gpt":0.2610153119524308,"score_spread":0.2226808441148995,"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."}}