{"id":"W3033925989","doi":"10.30501/jamt.2010.70241","title":"تعیین روش بهینه برای استخراج سیلیکای فعال از پوسته برنج به عنوان یک پسماند کشاورزی","year":2009,"lang":"fa","type":"article","venue":"مواد و فناوری های پیشرفته","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001938689,0.0009412967,0.0004689825,0.001434828,0.003397305,0.00681888,0.0009009389,0.002271984,0.08734514],"category_scores_gemma":[0.006964198,0.0008372263,0.0006837529,0.001318492,0.003631412,0.004683174,0.002845372,0.003065748,0.05357435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003952502,"about_ca_system_score_gemma":0.006626536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008331443,"about_ca_topic_score_gemma":0.00764162,"domain_scores_codex":[0.9968575,0.0005065825,0.0002625325,0.0004808058,0.001552105,0.0003404997],"domain_scores_gemma":[0.9958655,0.0006820233,0.0004808141,0.0003467151,0.002313631,0.000311298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008672742,0.000233629,0.00521189,0.001654879,0.00008956023,0.003670511,0.02259337,0.001279567,0.05357713,0.5643282,0.0854104,0.2610836],"study_design_scores_gemma":[0.00005346071,0.0001160091,0.008953071,0.0007213207,0.00005977742,0.001607511,0.01772617,0.001320423,0.02649972,0.07477611,0.8680049,0.0001614248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05208245,0.004507099,0.06613423,0.01402189,0.002756909,0.0003881978,0.0009259267,0.000974926,0.8582084],"genre_scores_gemma":[0.3133745,0.008444429,0.0702423,0.003645152,0.0008439498,0.0008656806,0.001621421,0.002050204,0.5989123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08734514,"threshold_uncertainty_score":0.2921986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006625191294648843,"score_gpt":0.1997264006442485,"score_spread":0.1931012093495997,"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."}}