{"id":"W4399732979","doi":"10.22148/001c.116818","title":"The Potential and Limits of Arabic Digital Humanities","year":2024,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ephemera; Data science; Metadata; Newspaper; Subject (documents); Field (mathematics); Analytics; Computer science; Sociology; World Wide Web; Media studies; Visual arts; Art","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":[0.0002091854,0.0000373708,0.00008460086,0.0000299328,0.0002373421,0.0002853561,0.00008609318,0.00001755478,0.00001401202],"category_scores_gemma":[0.0001966943,0.00001861902,0.0000748867,0.00009801896,0.0003235824,0.0002757252,0.00001086321,0.00008266487,0.000002167196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002256656,"about_ca_system_score_gemma":0.00007193161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001479827,"about_ca_topic_score_gemma":0.00005739407,"domain_scores_codex":[0.9994673,0.00002103334,0.0001901746,0.00003032763,0.0002169387,0.00007425821],"domain_scores_gemma":[0.9994827,0.0001129677,0.00009493757,0.00002217231,0.0002645623,0.00002265644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004938833,0.0001155691,0.004903218,0.0001136777,0.001186521,0.00003846979,0.2498187,0.00006767471,0.0006248544,0.5380708,0.1349856,0.07002551],"study_design_scores_gemma":[0.0001731243,0.0001654956,0.01003446,0.0001829798,0.0002193858,0.00005150986,0.4020225,0.0001945955,0.00009006308,0.02173775,0.5649828,0.0001453038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478662,0.009383167,0.0000231002,0.01243925,0.001164551,0.00003471781,0.000003388523,0.000008296588,0.02907729],"genre_scores_gemma":[0.9848656,0.004018214,0.00001498741,0.00003081101,0.0004780995,1.08786e-7,1.725036e-7,0.000001589507,0.01059044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.516333,"threshold_uncertainty_score":0.2751696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905456536908647,"score_gpt":0.3360146354009014,"score_spread":0.286960070031815,"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."}}