{"id":"W4404531309","doi":"","title":"Penser les corpus de l’imaginaire avec les humanités numériques","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178039,0.001289829,0.0006961009,0.003653573,0.004517377,0.009388745,0.0009170897,0.002413325,0.04525878],"category_scores_gemma":[0.01216592,0.0006205518,0.0007276905,0.004145342,0.006327383,0.007395544,0.002891201,0.006584879,0.008333757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004903744,"about_ca_system_score_gemma":0.002402243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02959274,"about_ca_topic_score_gemma":0.03450936,"domain_scores_codex":[0.997403,0.001404918,0.0001199999,0.0003367201,0.0006165868,0.0001187809],"domain_scores_gemma":[0.9945225,0.004005894,0.0001784857,0.0004365811,0.000715295,0.0001414214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002775935,0.00003399734,0.0004515944,0.0004583498,0.00002408509,0.000598497,0.01680661,0.001063971,0.004921687,0.8933869,0.02685533,0.05512145],"study_design_scores_gemma":[0.00006904219,0.00003121046,0.001876388,0.0002894953,0.00001750591,0.0007158616,0.008827393,0.003034685,0.005360402,0.04605503,0.9336654,0.00005745828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1032487,0.005744237,0.2073886,0.01849879,0.004201996,0.0002487195,0.007661028,0.002388515,0.6506194],"genre_scores_gemma":[0.6111029,0.004106302,0.1291406,0.001288621,0.0019088,0.0007990317,0.006969409,0.002630174,0.2420542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04525878,"threshold_uncertainty_score":0.1514058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311042723549537,"score_gpt":0.2369568994159259,"score_spread":0.2038464721804305,"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."}}