{"id":"W2995458625","doi":"10.4000/estampe.452","title":"Souvenirs de « Mac »","year":2016,"lang":"fr","type":"article","venue":"Nouvelles de l estampe","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002848334,0.0001830008,0.0002181812,0.00002577602,0.0007053731,0.00004735966,0.0003143342,0.0002156821,0.00306145],"category_scores_gemma":[0.000224126,0.0001234856,0.0001720231,0.0002603845,0.0009732576,0.0001833869,0.0001151955,0.000119994,0.00227507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213383,"about_ca_system_score_gemma":0.0002863179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007614177,"about_ca_topic_score_gemma":0.003576152,"domain_scores_codex":[0.9982992,0.0001610351,0.0001800119,0.0002732517,0.0002984668,0.0007879763],"domain_scores_gemma":[0.9991703,0.000213944,0.00008150166,0.0001191393,0.00009278665,0.0003223257],"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":[0.00004103435,0.0002202405,0.006288504,0.00004876954,0.000102563,0.00007960083,0.05178037,0.000003410034,0.0008103863,0.4627467,0.2117078,0.2661707],"study_design_scores_gemma":[0.0002599609,0.00006464529,0.001384093,0.00009620636,0.00004853047,0.000003452777,0.009121521,0.000003987664,0.00008333643,0.005988162,0.9827033,0.0002428595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2267349,0.01674388,0.0008722704,0.1046185,0.006101311,0.0002926473,0.0001183633,0.0002540129,0.6442641],"genre_scores_gemma":[0.6658634,0.01523378,0.0009940648,0.0007949434,0.00119309,0.00001356485,8.669687e-7,0.00001646636,0.3158898],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7709955,"threshold_uncertainty_score":0.9989942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172968692793832,"score_gpt":0.2658334702698744,"score_spread":0.2341037833419361,"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."}}