{"id":"W2100860222","doi":"10.7202/012247ar","title":"Variations morphologiques, syntaxiques, sémantiques et Repérage d’Information sur le Web","year":2006,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00226727,0.0004703592,0.0005953227,0.000430814,0.0003258708,0.001005036,0.00105583,0.0005445595,0.00006096081],"category_scores_gemma":[0.002368929,0.0005649473,0.0003443908,0.0007669083,0.0001403339,0.0016976,0.0002745181,0.0007732822,0.0002735703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485477,"about_ca_system_score_gemma":0.002771303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2100269,"about_ca_topic_score_gemma":0.03746332,"domain_scores_codex":[0.9962867,0.0007874558,0.001156132,0.000704099,0.0002968108,0.0007687453],"domain_scores_gemma":[0.9964186,0.0004427291,0.0007172369,0.001363438,0.0008347271,0.0002232731],"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":[0.00001004458,0.0003135118,0.0007414898,0.0002812625,0.0000720145,0.0004062409,0.001913769,0.002315076,0.0003009459,0.9614727,0.02573176,0.006441187],"study_design_scores_gemma":[0.0003486809,0.000101781,0.003193062,0.0006558677,0.0001310089,0.0004133527,0.00004406935,0.2269751,0.0007608152,0.01823226,0.7484354,0.0007085648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0189851,0.009299984,0.7851773,0.04528857,0.002259892,0.0006386176,0.0008392344,0.001684233,0.1358271],"genre_scores_gemma":[0.7889139,0.0028471,0.1884871,0.002205614,0.001956015,0.00008714156,0.0008497731,0.00006618325,0.01458713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9432404,"threshold_uncertainty_score":0.9996802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461364815665919,"score_gpt":0.2480450942975128,"score_spread":0.2334314461408536,"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."}}