{"id":"W4287179666","doi":"10.5281/zenodo.4772384","title":"دلائل الخيرات","year":2021,"lang":"ar","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001352415,0.0004978359,0.0006040607,0.000191948,0.01742589,0.004196119,0.002205807,0.000355823,0.07085474],"category_scores_gemma":[0.004287233,0.0005124054,0.0002869213,0.0008431188,0.001458256,0.0003686647,0.002747085,0.0009327811,0.04353567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006192326,"about_ca_system_score_gemma":0.00005977852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001385622,"about_ca_topic_score_gemma":0.000004879053,"domain_scores_codex":[0.994641,0.001361224,0.0006540372,0.001131877,0.00123169,0.0009801928],"domain_scores_gemma":[0.9956447,0.0001648685,0.0003678834,0.0007580161,0.002586479,0.000477986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004313723,0.0001579471,0.000001996367,0.0002368508,0.0002952915,0.0001362317,0.04117937,0.000004583469,0.00005168554,0.04653125,0.8922256,0.01913604],"study_design_scores_gemma":[0.0003950644,0.0002303955,0.00005288603,0.0002750276,0.0001071707,0.00004329505,0.005233219,0.00002952304,0.000008468868,0.0007771009,0.9922599,0.000587963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002867316,0.001935667,0.00006551308,0.002196925,0.001577541,0.0006725753,0.0008543599,0.0009131919,0.9914975],"genre_scores_gemma":[0.02568171,0.006172319,0.0003865557,0.001211951,0.007841649,1.107163e-7,0.01299551,0.004538129,0.9411721],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1000343,"threshold_uncertainty_score":0.9997327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05719334122880354,"score_gpt":0.2796656712366617,"score_spread":0.2224723300078582,"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."}}