{"id":"W2766896384","doi":"10.5539/ijel.v8n1p164","title":"Shared Arguments in Modern Standard Arabic","year":2017,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Object (grammar); Computer science; Subject (documents); Verb; Linguistics; Function (biology); Argument map; Mathematics; Artificial intelligence; Philosophy; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003199735,0.0007143036,0.0005926258,0.002956558,0.005317789,0.004394717,0.0008397675,0.002298436,0.008410662],"category_scores_gemma":[0.006659181,0.000538819,0.0007671517,0.002260671,0.00688192,0.009629095,0.004512345,0.002561692,0.001108865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004167784,"about_ca_system_score_gemma":0.001227586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995698,"about_ca_topic_score_gemma":0.001815131,"domain_scores_codex":[0.9960164,0.001915565,0.0002703807,0.0006921812,0.0008309985,0.0002743715],"domain_scores_gemma":[0.9957507,0.002128941,0.0006221396,0.0006217443,0.000766451,0.0001100372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006407551,0.00001463723,0.001302002,0.0001289046,0.00002951857,0.0006770638,0.01322602,0.0004328248,0.001781127,0.9553255,0.001533728,0.02548464],"study_design_scores_gemma":[0.00006118029,0.00009868759,0.005151794,0.0002731413,0.0001164391,0.002169426,0.01062324,0.009480887,0.005890849,0.8146128,0.1514345,0.00008718258],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5088195,0.005965546,0.1857229,0.008307715,0.0005623804,0.0001279991,0.0003494944,0.0008134933,0.2893309],"genre_scores_gemma":[0.9817407,0.000332046,0.01306397,0.0001939275,0.0001033177,0.00003106499,0.00005804169,0.0001149101,0.004361945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008410662,"threshold_uncertainty_score":0.03023952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907066124412919,"score_gpt":0.2887160792525523,"score_spread":0.2596454180084231,"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."}}