{"id":"W2099195973","doi":"10.7202/012244ar","title":"Webaffix : une boîte à outils d’acquisition lexicale à partir du Web","year":2006,"lang":"fr","type":"article","venue":"Revue québécoise de linguistique","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009425539,0.0005917522,0.0006241732,0.0002371831,0.0003563371,0.0006038377,0.001265837,0.000691952,0.00008956907],"category_scores_gemma":[0.0007654926,0.0006716624,0.0003278611,0.001108039,0.0003490021,0.0004349504,0.0003162072,0.0009171059,0.0002131178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493247,"about_ca_system_score_gemma":0.0009935145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02612678,"about_ca_topic_score_gemma":0.01015464,"domain_scores_codex":[0.9961126,0.0003676821,0.0009152267,0.001056648,0.0003858427,0.001161984],"domain_scores_gemma":[0.9971128,0.0002826168,0.0004659994,0.001099568,0.000699006,0.0003400125],"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":[0.0000422809,0.0004213885,0.001065642,0.0006988185,0.00002986653,0.001999925,0.001759358,0.0001985045,0.004698823,0.9527677,0.01732893,0.01898878],"study_design_scores_gemma":[0.0005744279,0.000256568,0.00106848,0.002099974,0.0001393021,0.0009889433,0.00002853555,0.07007293,0.01777694,0.3270287,0.5786425,0.001322701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03620978,0.1960895,0.5159482,0.1384126,0.008187992,0.001798216,0.0002233753,0.005952938,0.09717734],"genre_scores_gemma":[0.7925312,0.0004355356,0.1845831,0.001567731,0.006131719,0.00007008463,0.00004328489,0.00008495747,0.01455245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7563214,"threshold_uncertainty_score":0.9995735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110306091019049,"score_gpt":0.2653177897882622,"score_spread":0.2542871806863573,"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."}}