{"id":"W2914303430","doi":"10.5539/ells.v9n1p106","title":"Broad Subjects in Arabic","year":2019,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nominative case; Noun phrase; Arabic; Linguistics; Subject (documents); Phrase; Position (finance); Computer science; Noun; Philosophy; World Wide Web; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.000129722,0.0001945067,0.0003387275,0.0001247703,0.0001075528,0.0002555419,0.00009286423,0.00004910657,0.0004049862],"category_scores_gemma":[0.0004626317,0.0001257622,0.00007200762,0.0001064031,0.0001002736,0.0002003211,0.00007151384,0.0002322221,0.00003564302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002134658,"about_ca_system_score_gemma":0.000005216788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001388978,"about_ca_topic_score_gemma":0.002090928,"domain_scores_codex":[0.999112,0.00004617827,0.0001958546,0.0002807913,0.0001318267,0.0002333922],"domain_scores_gemma":[0.9994087,0.00009105611,0.00005356374,0.0001756629,0.0002336649,0.00003736111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001271839,0.00002184251,0.001655721,0.0001208835,0.0001176313,0.0001494082,0.9662806,0.00000115221,0.0000503989,0.02976011,0.001220228,0.0006092653],"study_design_scores_gemma":[0.0008365954,0.00009312422,0.0009741042,0.0004866098,0.00008556614,0.000004806176,0.9134719,0.0000129166,0.00009557282,0.001247934,0.08218446,0.0005064622],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906662,0.04406204,1.141622e-7,0.0000866529,0.0008659578,0.0001269208,0.00003352803,0.00007792867,0.04808478],"genre_scores_gemma":[0.972434,0.0002559186,0.00003090293,0.0002222846,0.001893911,0.00001009835,0.00004862707,0.00001307726,0.02509112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08096422,"threshold_uncertainty_score":0.5128435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009085135564858281,"score_gpt":0.2335440589666175,"score_spread":0.2244589234017592,"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."}}