{"id":"W2997941964","doi":"","title":"Présentation générale du volume \"Prépositions et aspectualité\"","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002252757,0.002329215,0.001629489,0.005309978,0.003221186,0.01442483,0.001592355,0.004750901,0.3035625],"category_scores_gemma":[0.01176955,0.0006939281,0.001681163,0.004372779,0.002057452,0.006040037,0.004795725,0.004177948,0.08507781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003749342,"about_ca_system_score_gemma":0.002193419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759474,"about_ca_topic_score_gemma":0.002153835,"domain_scores_codex":[0.9974654,0.000732675,0.0001337906,0.0006913382,0.0007983897,0.0001785122],"domain_scores_gemma":[0.9942205,0.002305475,0.0002695788,0.0006738477,0.002167566,0.0003629344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000193631,0.00003688642,0.0001547748,0.0004523049,0.00004398387,0.0001182213,0.0003773122,0.0003148713,0.00206987,0.08229636,0.8747823,0.03915951],"study_design_scores_gemma":[0.00004669366,0.00002960578,0.0006706513,0.0003250112,0.00003910528,0.0001576207,0.0003365804,0.001129384,0.001109062,0.04235468,0.9537744,0.00002733959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005078241,0.02044257,0.06138004,0.1882171,0.3477142,0.0002809995,0.007928103,0.004658669,0.3643002],"genre_scores_gemma":[0.09080668,0.01722073,0.008547371,0.01745452,0.3027252,0.0006582236,0.01247787,0.004256241,0.5458533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3035625,"threshold_uncertainty_score":0.9933836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885103523331135,"score_gpt":0.2510698292703479,"score_spread":0.2322187940370365,"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."}}