{"id":"W16462956","doi":"10.1039/b511363f","title":"Le Multi, un dictionnaire ambigu","year":2004,"lang":"en","type":"article","venue":"Québec français/Québec-français","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002914995,0.0007620577,0.0008866936,0.0004079485,0.002432357,0.000531461,0.0007935182,0.0002367477,0.008815609],"category_scores_gemma":[0.0002963021,0.0007012211,0.0008295949,0.0002398013,0.00106047,0.0004622399,0.0001804205,0.0005558095,0.00393941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820919,"about_ca_system_score_gemma":0.002497945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897772,"about_ca_topic_score_gemma":0.9898149,"domain_scores_codex":[0.9962522,0.00006869773,0.001031689,0.0009747131,0.0007219163,0.0009507663],"domain_scores_gemma":[0.9974375,0.0001301507,0.0003121039,0.001097693,0.0005644026,0.0004581332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003243974,0.004841616,0.02557606,0.0003921725,0.002846321,0.0004926395,0.5336245,0.002007195,0.0005065966,0.3580675,0.04209055,0.02923041],"study_design_scores_gemma":[0.003729528,0.0002071632,0.006848448,0.0001397657,0.0006290723,0.00001270661,0.004045292,0.0005836028,0.0007025787,0.000929385,0.9808993,0.001273103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.38138,0.04995628,0.005373168,0.03374903,0.005133369,0.001578942,0.0005658433,0.002566357,0.5196971],"genre_scores_gemma":[0.9780661,0.00009918163,0.0002372925,0.002059086,0.002804029,0.0001071321,0.00006537846,0.0001697512,0.01639201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9388088,"threshold_uncertainty_score":0.9995439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621940433770368,"score_gpt":0.2184137830325552,"score_spread":0.2021943786948515,"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."}}