{"id":"W7068016306","doi":"","title":"Last front baghuz","year":2022,"lang":"ar","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brother; Islam; State (computer science); Front (military); Supporter","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003557024,0.0006139444,0.000682606,0.0001513425,0.0002278523,0.000122742,0.0005483305,0.0004525374,0.927487],"category_scores_gemma":[0.0001265772,0.000669098,0.0002721667,0.00001237175,0.0001015737,2.953104e-7,0.0002071596,0.0008335129,0.1035733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237847,"about_ca_system_score_gemma":0.00004235842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848451,"about_ca_topic_score_gemma":0.0007208452,"domain_scores_codex":[0.9973452,0.00008835556,0.001034347,0.0003070605,0.0006453237,0.0005796751],"domain_scores_gemma":[0.9985512,0.0001249994,0.0005287954,0.0004881193,0.000106167,0.0002007256],"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":[0.00004447183,0.00003462722,0.000007973736,0.001668715,0.0001410483,0.00003347746,0.0007516188,0.04506401,0.000001088348,0.0000201928,0.9498864,0.002346414],"study_design_scores_gemma":[0.0006040884,0.0001408737,0.00001105532,0.0003861508,0.00009895598,0.00009257394,0.0004758829,0.0007125674,0.000007414228,0.000007084489,0.9967811,0.0006822976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004413266,0.001293611,5.927934e-7,0.00009492261,0.0009844141,0.0003479561,0.0002079842,0.0003154166,0.9963138],"genre_scores_gemma":[0.004466979,0.0003422852,0.0009748372,0.0001694458,0.0004063561,0.00002840118,0.0003072827,0.0002089691,0.9930955],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8239138,"threshold_uncertainty_score":0.999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005198834442323867,"score_gpt":0.1700649217835984,"score_spread":0.1648660873412746,"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."}}