{"id":"W253995416","doi":"10.4000/abstractairanica.37936","title":"Mehdī Moḥaqqeq, Hermann Landolteds. Majmū‘e-ye soḫanrānī-hā va maqāle-hā darbāre-ye falsafe va ‘erfān-e eslāmī. Rassemblés par Mehdī Moḥaqqeq et Hermann Landolt, Tehrān, Anjoman-e āṯār va mafāḫer-e farhangī, 1385/2006, 190 +116 p.","year":2010,"lang":"ceb","type":"article","venue":"Abstracta Iranica","topic":"Islamic Studies and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005133193,0.002717955,0.003406699,0.0007648739,0.00438559,0.001080871,0.004187053,0.002667376,0.00885844],"category_scores_gemma":[0.0007513371,0.002705481,0.001821816,0.001727238,0.002166736,0.001745235,0.001268317,0.004799347,0.005616225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169828,"about_ca_system_score_gemma":0.001626613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01563034,"about_ca_topic_score_gemma":0.0481122,"domain_scores_codex":[0.9832932,0.001312537,0.003505394,0.003589699,0.003547937,0.004751181],"domain_scores_gemma":[0.9903308,0.001640985,0.002221044,0.003348179,0.0009632874,0.001495723],"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":[0.001604297,0.003968596,0.01967023,0.001006741,0.002729903,0.001787562,0.04780819,0.0001678842,0.01169204,0.01350137,0.8833447,0.01271856],"study_design_scores_gemma":[0.006198575,0.0005200644,0.08051778,0.0004077142,0.001180416,0.0001169635,0.008277541,0.0002678659,0.0005713492,0.001298029,0.8968601,0.003783646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3119189,0.01158749,0.0001311395,0.03294087,0.01916938,0.005086299,0.002299336,0.001689695,0.6151769],"genre_scores_gemma":[0.9359795,0.007393496,0.000831987,0.004485423,0.005482993,0.00025229,0.0004803147,0.000541928,0.04455205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6240607,"threshold_uncertainty_score":0.9999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617220754251472,"score_gpt":0.2936663509980954,"score_spread":0.2774941434555807,"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."}}