{"id":"W2526645609","doi":"","title":"Analyse textométrique du Cycle du Monde réel","year":2011,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Art","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":[0.0003040226,0.0007638558,0.0008543855,0.002387168,0.0007203175,0.001562515,0.00063054,0.0007928258,0.01373426],"category_scores_gemma":[0.002627337,0.0003150036,0.001027336,0.001807002,0.0006538635,0.0008318408,0.0003621558,0.0008558334,0.001181545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569896,"about_ca_system_score_gemma":0.0008033419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355078,"about_ca_topic_score_gemma":0.02595332,"domain_scores_codex":[0.9997748,0.00004937594,0.000006498585,0.00005927661,0.00007789134,0.00003213256],"domain_scores_gemma":[0.9989189,0.0007243852,0.00004506036,0.00005867212,0.0001957607,0.00005729435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001230693,0.0001242575,0.01605815,0.000989882,0.0003070725,0.0007530198,0.001127947,0.6056669,0.05391216,0.1255558,0.006842757,0.1874313],"study_design_scores_gemma":[0.00008774635,0.0001260889,0.01917883,0.00007239374,0.00005684558,0.0002646922,0.0004911189,0.9133624,0.01299747,0.03750503,0.01579638,0.00006102335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.676923,0.00133287,0.2904286,0.000550807,0.0001425146,0.0001349676,0.004626063,0.001039705,0.02482142],"genre_scores_gemma":[0.9305138,0.0005604232,0.04329153,0.00004271597,0.00007387509,0.0001604586,0.002420395,0.0005461207,0.02239073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03355078,"threshold_uncertainty_score":0.06671095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740762995040639,"score_gpt":0.2196860745786031,"score_spread":0.2022784446281967,"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."}}