{"id":"W7094308060","doi":"","title":"NEYZEN MEHMED KÂMÎ EFENDİ’NİN İRÂ’E-İ NAGAMÂT’I ÜZERİNE","year":2016,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islam; Government (linguistics); Interpretation (philosophy); Quarter (Canadian coin); Period (music)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003087513,0.0004258359,0.0002552777,0.0004342352,0.003442362,0.001335767,0.0003387331,0.000681138,0.02451655],"category_scores_gemma":[0.0004712536,0.0001979321,0.0002591995,0.0005867475,0.001244339,0.00113126,0.001834097,0.001445559,0.003364553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904005,"about_ca_system_score_gemma":0.002817694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269346,"about_ca_topic_score_gemma":0.08110653,"domain_scores_codex":[0.9997559,0.00003616961,0.00001079409,0.0000367617,0.00006935039,0.00009095659],"domain_scores_gemma":[0.9998686,0.00001745692,0.00002470377,0.000009298363,0.00005081081,0.00002915272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001239121,0.0004227707,0.1030681,0.002071914,0.0001437153,0.007136617,0.103805,0.0007891672,0.02225407,0.1391307,0.1051088,0.51483],"study_design_scores_gemma":[0.00002270451,0.00013543,0.1035479,0.0004254434,0.00003608915,0.001144169,0.04456885,0.0001618135,0.003000074,0.003501701,0.8434143,0.0000415975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4906664,0.01132259,0.002873156,0.009355555,0.001296699,0.0001434957,0.001420334,0.0001729756,0.4827488],"genre_scores_gemma":[0.7010321,0.005620657,0.003039134,0.001342341,0.0001530122,0.00007182411,0.0009934114,0.00007329725,0.2876742],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02451655,"threshold_uncertainty_score":0.08201605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479021433790514,"score_gpt":0.2125696327085043,"score_spread":0.1977794183705992,"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."}}