{"id":"W4382237353","doi":"10.4000/belphegor.5086","title":"Introduction. Genre de l’anticipation et rapports au temps","year":2023,"lang":"fr","type":"article","venue":"Belphégor","topic":"Diverse multidisciplinary academic research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Philosophy; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008352491,0.0007112842,0.0003735256,0.001654765,0.003782125,0.006665789,0.0007351846,0.001973597,0.04961941],"category_scores_gemma":[0.002799454,0.000332505,0.0004267831,0.001770144,0.004895595,0.005763338,0.002557252,0.004441024,0.01189842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003883254,"about_ca_system_score_gemma":0.002508145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009260511,"about_ca_topic_score_gemma":0.00995904,"domain_scores_codex":[0.9987387,0.0004633039,0.00007575955,0.0002602419,0.0003242619,0.0001377673],"domain_scores_gemma":[0.9985152,0.0007459463,0.0001460942,0.0001190046,0.0002821381,0.0001916883],"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":[0.00008337338,0.00003279156,0.001000573,0.000490691,0.000005147574,0.0002691834,0.02790561,0.0000847925,0.0008235691,0.7459693,0.1665074,0.05682759],"study_design_scores_gemma":[0.000002418484,0.00001243059,0.001055293,0.0002860956,0.000001884864,0.0002340096,0.002801408,0.00004036951,0.0001195842,0.009198523,0.9862395,0.000008432353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01037381,0.02849615,0.007038433,0.02225008,0.009771691,0.0001002042,0.0009110142,0.0001750001,0.9208837],"genre_scores_gemma":[0.2072539,0.03598027,0.006848122,0.009895809,0.01027122,0.0003635503,0.002040754,0.0007473896,0.7265989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04961941,"threshold_uncertainty_score":0.1659935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186108616897898,"score_gpt":0.4151511047656318,"score_spread":0.296540243075842,"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."}}