{"id":"W2036959665","doi":"10.4000/histoire-cnrs.2742","title":"Les premières années de l’Institut de recherche et d’histoire des textes","year":2000,"lang":"fr","type":"article","venue":"La Revue pour l’histoire du CNRS","topic":"French Historical and Cultural Studies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Classics; Nothing; Archivist; Politics; Humanities; Order (exchange); Section (typography); Art history; History; Art; Library science; Philosophy; Law; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007163789,0.0008744919,0.0006144945,0.002279515,0.003595584,0.01171422,0.001157005,0.002963667,0.04372778],"category_scores_gemma":[0.01013402,0.0006935499,0.0009341313,0.001697261,0.004881408,0.003370149,0.002803229,0.007422982,0.03293421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00654325,"about_ca_system_score_gemma":0.007770092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01582952,"about_ca_topic_score_gemma":0.01600657,"domain_scores_codex":[0.9925007,0.002050869,0.00060487,0.001242384,0.002757926,0.0008433077],"domain_scores_gemma":[0.9936376,0.00124962,0.0006638388,0.0007476455,0.002838745,0.0008624643],"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":[0.0001997009,0.00005795555,0.001654695,0.000374268,0.00002303592,0.0003076624,0.006079152,0.0002554001,0.002730418,0.4008143,0.4608659,0.1266375],"study_design_scores_gemma":[0.000002186021,0.000004703195,0.0005156895,0.00005842137,0.000001066888,0.00004898347,0.00009869073,0.00001439083,0.0002807332,0.001830344,0.9971381,0.000006737813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00852323,0.05231196,0.01882378,0.0737788,0.04530651,0.0004528343,0.004571611,0.001713629,0.7945176],"genre_scores_gemma":[0.08021413,0.01607174,0.01312413,0.008125287,0.009064201,0.0006016699,0.00247816,0.001666669,0.868654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04372778,"threshold_uncertainty_score":0.146284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09082718198469852,"score_gpt":0.270945423055462,"score_spread":0.1801182410707635,"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."}}