{"id":"W7069241317","doi":"","title":"Kapak-İçindekiler","year":2013,"lang":"tr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technical university; Research method; Middle East; Statistical analysis","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001315356,0.0007525596,0.001082836,0.0005885693,0.000385298,0.002848511,0.005157375,0.0006010433,0.03994745],"category_scores_gemma":[0.0007880486,0.0007046333,0.000469241,0.0007467255,0.0003601407,0.0003517548,0.003360707,0.001007619,0.0005370323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008208519,"about_ca_system_score_gemma":0.0003103508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009589201,"about_ca_topic_score_gemma":0.00003554213,"domain_scores_codex":[0.9953934,0.0003552028,0.001734347,0.0007211501,0.0008911727,0.0009047528],"domain_scores_gemma":[0.995332,0.0001374983,0.00187463,0.001207935,0.0008327581,0.0006151601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001481557,0.0003912581,0.3749809,0.0003721604,0.0007240814,0.00001257443,0.0002142323,0.0003013957,0.19837,0.0001237505,0.4025231,0.02183834],"study_design_scores_gemma":[0.001555248,0.0001021149,0.644029,0.0007308949,0.0002641311,0.00008429709,0.0002293505,0.001458816,0.07648542,0.002105513,0.2712532,0.001701957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074143,0.02775331,0.0008718622,0.0006470653,0.001592183,0.00133863,0.0001123872,0.00003876082,0.06023145],"genre_scores_gemma":[0.9724889,0.01681144,0.001777039,0.001423816,0.0008250994,0.00007327856,0.0001312224,0.0001513174,0.006317834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2690481,"threshold_uncertainty_score":0.9995405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281317594318197,"score_gpt":0.5257339484587434,"score_spread":0.3976021890269238,"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."}}