{"id":"W2111002345","doi":"10.1017/s0142716400004033","title":"Relative clause sentence production using augmentative and alternative communicationsystems","year":2000,"lang":"en","type":"article","venue":"Applied Psycholinguistics","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Relative clause; Dependent clause; Sentence; Linguistics; Object (grammar); Word order; Subject (documents); Augmentative and alternative communication; Psychology; Production (economics); Non-finite clause; Ambiguity; Computer science; Natural language processing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000981841,0.000364473,0.0001841287,0.0002005899,0.0001595011,0.0005786469,0.0001972952,0.0002575525,0.003987007],"category_scores_gemma":[0.004616406,0.0001310291,0.0001262145,0.0001266188,0.0002875945,0.0006098136,0.0003912844,0.0002231168,0.0005474907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068439,"about_ca_system_score_gemma":0.0001933138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003580162,"about_ca_topic_score_gemma":0.0005431849,"domain_scores_codex":[0.9995754,0.0001756124,0.00003762805,0.00006976104,0.0001215558,0.00002000497],"domain_scores_gemma":[0.9964312,0.002674789,0.0003147869,0.0001833497,0.0003400559,0.00005569294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006890622,0.0001802884,0.02534704,0.0005618387,0.00004945272,0.00208717,0.01907874,0.0003992153,0.8234819,0.003025745,0.0006941134,0.1244055],"study_design_scores_gemma":[0.0002850285,0.005310311,0.2282795,0.0002186246,0.0003046145,0.01370245,0.02080972,0.01895013,0.6788338,0.004725858,0.02840184,0.0001781105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845375,0.0001172311,0.01113141,0.00004711048,0.00001914603,0.00004920271,0.00008041876,0.00007954396,0.003938463],"genre_scores_gemma":[0.9840804,0.0001239057,0.01403622,0.00003061608,0.00001057672,0.00002983081,0.0001509722,0.0000349275,0.001502612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003987007,"threshold_uncertainty_score":0.01333791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143611379452571,"score_gpt":0.4774564589939391,"score_spread":0.3338450795413681,"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."}}