{"id":"W4385078385","doi":"10.18280/isi.280309","title":"A Comprehensive Context-Free Grammar for the Arabic Language: Including Non-Fundamentalist Phrases","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Historical and Linguistic Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Arabic; Linguistics; Grammar; Context (archaeology); Natural language processing; Computer science; Artificial intelligence; Philosophy; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004866899,0.0001178949,0.0001767224,0.00008479835,0.002172573,0.000177337,0.0003204332,0.00006007533,0.00002069045],"category_scores_gemma":[0.003071519,0.00008829064,0.00009227786,0.000433761,0.0005304347,0.0004296799,0.0001217707,0.00007778304,0.0000946655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003707976,"about_ca_system_score_gemma":0.00007182696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006994843,"about_ca_topic_score_gemma":0.0008827057,"domain_scores_codex":[0.9988874,0.00004980388,0.0003268764,0.00009208068,0.0003110315,0.0003328047],"domain_scores_gemma":[0.9983584,0.0009719043,0.0001678186,0.0001756898,0.0002646406,0.00006150144],"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":[0.00008251684,0.00002475205,0.0006175269,0.0003872085,0.0001448967,0.000005034443,0.6927207,0.0001036321,0.00005971796,0.05524304,0.0996682,0.1509428],"study_design_scores_gemma":[0.000481671,0.00004939343,0.001282796,0.00006814914,0.00003352894,0.000001198102,0.2323212,0.000985736,0.00005289009,0.003913845,0.7606335,0.0001761179],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6487532,0.007537063,0.04348704,0.009294056,0.01587982,0.009186155,0.001124526,0.003360712,0.2613774],"genre_scores_gemma":[0.9976221,0.0001719927,0.0001993469,0.0003928692,0.0004544212,0.000243508,0.00005714289,0.000008091904,0.000850549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6609653,"threshold_uncertainty_score":0.9996176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05347681739869147,"score_gpt":0.3226323487289622,"score_spread":0.2691555313302708,"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."}}