{"id":"W4298198927","doi":"","title":"Distance intertextuelle et classement des textes d'après leur structure : méthodes de découpage et analyses arborées","year":2006,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Humanities; Computer science; Philosophy","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":[0.007212164,0.0005567484,0.0006283944,0.004755073,0.002757054,0.01197847,0.001214985,0.001277055,0.01111853],"category_scores_gemma":[0.05029842,0.0004746004,0.00067176,0.004575445,0.004052659,0.007973634,0.0033342,0.002321604,0.00202001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00289159,"about_ca_system_score_gemma":0.002048784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005903198,"about_ca_topic_score_gemma":0.008116478,"domain_scores_codex":[0.9927104,0.002998646,0.0004945907,0.001846086,0.001648612,0.0003017283],"domain_scores_gemma":[0.9561511,0.03160857,0.003239206,0.003055439,0.005268048,0.0006776718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001499578,0.0003169621,0.03749079,0.001377781,0.0002036955,0.0003025281,0.4066311,0.001194816,0.02479569,0.145325,0.003311265,0.3775507],"study_design_scores_gemma":[0.0002091874,0.0006191673,0.170367,0.001110508,0.0005193512,0.001093019,0.3386472,0.02901553,0.07338569,0.107036,0.2776807,0.0003166847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7293441,0.001791871,0.2116147,0.00112528,0.0001764912,0.0005342209,0.001412525,0.0008237921,0.05317697],"genre_scores_gemma":[0.8804185,0.0003597029,0.09823945,0.0000748862,0.00005120441,0.0006531925,0.0007215785,0.0005102198,0.01897115],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01197847,"threshold_uncertainty_score":0.03814203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04932940756017534,"score_gpt":0.2931743629381427,"score_spread":0.2438449553779674,"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."}}