{"id":"W1630014687","doi":"","title":"Exploring the Effects of First- and Second-Language Proficiency on Summarizing in French as a Second Language.","year":2000,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Automatic summarization; Computer science; Comprehension approach; Language assessment; Linguistics; Language proficiency; Second-language attrition; Language education; Second-language acquisition; Language pedagogy; Psychology; Natural language processing; Natural language; Mathematics education","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00128328,0.0003125109,0.0005671096,0.0007219021,0.0002209023,0.0009965114,0.00404876,0.0000836299,0.001610539],"category_scores_gemma":[0.0004540676,0.0002298282,0.00009887052,0.001363463,0.0001290304,0.003380121,0.0009785231,0.000638078,0.00000540257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007423546,"about_ca_system_score_gemma":0.00008181437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354965,"about_ca_topic_score_gemma":0.000380114,"domain_scores_codex":[0.9975253,0.0002653273,0.0006387026,0.0005519828,0.0005928901,0.0004258244],"domain_scores_gemma":[0.9977013,0.000867195,0.0004595441,0.0007499861,0.00009288359,0.0001290873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001461489,0.0005726019,0.07639116,0.001644562,0.0001309638,0.0007661989,0.03070124,0.00003140263,0.2936091,0.001063878,0.003791705,0.5911511],"study_design_scores_gemma":[0.00085393,0.0001087828,0.2183689,0.003066627,0.000030756,0.00007524403,0.0003670739,0.0005652941,0.7659175,0.009004889,0.0009002662,0.0007407402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584131,0.03772935,0.0002741086,0.0001198616,0.0002126175,0.0005993245,0.000006231904,0.00009151224,0.002553913],"genre_scores_gemma":[0.9947956,0.001456239,0.002825626,0.0002867514,0.00005961848,0.00009096782,0.000001586126,0.0000283068,0.0004553025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5904103,"threshold_uncertainty_score":0.9993021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059457975495797,"score_gpt":0.455930479286816,"score_spread":0.3499846817372363,"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."}}