{"id":"W7027938566","doi":"","title":"Dr. Md. Khalilur Rahman","year":2012,"lang":"en","type":"article","venue":"BRAC University Institutional Repository (BRAC University)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Competition (biology); Work (physics); Selection (genetic algorithm); 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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001001235,0.0002170779,0.0002632236,0.0006210693,0.001204014,0.00001087849,0.0002919127,0.001754429,0.0001648561],"category_scores_gemma":[0.00003527325,0.0002445703,0.0002283193,0.0007304507,0.0007535798,0.0007845311,0.0002094138,0.001539655,0.000216193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005489896,"about_ca_system_score_gemma":0.0004485322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001150377,"about_ca_topic_score_gemma":0.000009108132,"domain_scores_codex":[0.9987235,0.00008427598,0.0001418008,0.0003408304,0.0002858498,0.0004237237],"domain_scores_gemma":[0.9989278,0.00005618025,0.0001151809,0.0003716417,0.0001526553,0.0003765224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00180504,0.001647021,0.0695039,0.0001298048,0.001073083,0.008818241,0.0005746316,0.0001299721,0.02253152,0.8694745,0.02324154,0.001070715],"study_design_scores_gemma":[0.001816532,0.0001209746,0.02810046,0.0000928172,0.0004245601,0.00141733,0.001045147,0.00003759329,0.006165968,0.00002406127,0.960429,0.0003255861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5626552,0.0004633186,0.001979955,0.004073481,0.001282574,0.0003260761,0.0000212362,0.0005147767,0.4286834],"genre_scores_gemma":[0.9246987,0.0003347915,0.0006153948,0.0002942821,0.0002399652,8.254698e-8,0.00004525137,0.00001068551,0.07376084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9371874,"threshold_uncertainty_score":0.9995415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080265128316255,"score_gpt":0.195823056536745,"score_spread":0.1850204052535825,"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."}}