{"id":"W2473631628","doi":"10.4000/anglophonia.775","title":"A natural-language semantics approach to infinitival and gerund-participial complementation in English","year":2007,"lang":"fr","type":"article","venue":"Anglophonia Caliban/Sigma","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Philosophy; Humanities; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.000906485,0.0004169953,0.0003042488,0.001312849,0.001421575,0.002761842,0.0007028382,0.0006351404,0.003439977],"category_scores_gemma":[0.001403814,0.0003518129,0.000459756,0.0007233304,0.004823661,0.004805074,0.001115906,0.0009178097,0.0003063648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340928,"about_ca_system_score_gemma":0.001189129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005794085,"about_ca_topic_score_gemma":0.006595821,"domain_scores_codex":[0.99939,0.0003177114,0.00004409546,0.00008395377,0.0000957881,0.00006839011],"domain_scores_gemma":[0.9991247,0.0005186695,0.00009927883,0.00006891938,0.0001656415,0.00002272391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001638479,0.000009591169,0.0007200635,0.0000462957,0.000004374597,0.0002716169,0.008488809,0.0005063078,0.0008995465,0.9824019,0.0002072842,0.006427865],"study_design_scores_gemma":[0.00003001381,0.0000588262,0.004084152,0.0001638926,0.00004476773,0.001327395,0.01742247,0.01057422,0.004698896,0.8874831,0.07405534,0.0000569056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2860917,0.00384692,0.4260533,0.00546805,0.0002298623,0.00009575389,0.0001762766,0.0002691358,0.277769],"genre_scores_gemma":[0.970768,0.0004828029,0.01901668,0.0001635667,0.00006618407,0.00004085399,0.00004988271,0.00005704771,0.009355037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005794085,"threshold_uncertainty_score":0.0169847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215619042033681,"score_gpt":0.3058076419473211,"score_spread":0.2836514515269842,"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."}}