{"id":"W4281750085","doi":"10.3917/lang.226.0083","title":"Une ou deux périphrases à valeur progressive en français québécois de tous les jours ? ‹ Être après  INF› et ‹ être en train de  INF›","year":2022,"lang":"fr","type":"article","venue":"Langages","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Philosophy; Art; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[],"category_scores_codex":[0.0009143574,0.000422267,0.0005278254,0.0001962772,0.001521338,0.0004753634,0.000519667,0.0001527999,0.005618506],"category_scores_gemma":[0.0005675102,0.0004039854,0.0003982744,0.000170496,0.0002544276,0.0001555888,0.0002572949,0.0009582381,0.0000562168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965541,"about_ca_system_score_gemma":0.0004754951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2802061,"about_ca_topic_score_gemma":0.1522074,"domain_scores_codex":[0.9968801,0.00101314,0.0004540845,0.0004353768,0.0004656623,0.0007516739],"domain_scores_gemma":[0.9982176,0.0007542034,0.0002588289,0.0004033621,0.0001404575,0.0002254826],"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":[0.0001042101,0.001411373,0.04915813,0.0005696549,0.001592566,0.004362149,0.5036744,0.003515526,0.0001019608,0.2810159,0.1172181,0.037276],"study_design_scores_gemma":[0.0006156871,0.0003093546,0.009025281,0.0001745786,0.0009555097,0.00009880558,0.1045837,0.0005895022,0.00009922632,0.003924821,0.8789893,0.000634185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8034648,0.07173875,0.0001090738,0.03061222,0.001076481,0.0004780538,0.003571664,0.0002908853,0.08865813],"genre_scores_gemma":[0.9284922,0.00148129,0.0004661689,0.001643389,0.003195509,0.0001451712,0.0003177977,0.00009744577,0.06416105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7617713,"threshold_uncertainty_score":0.9998412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064046448177909,"score_gpt":0.2824018813130925,"score_spread":0.2517614168313134,"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."}}