{"id":"W7088839477","doi":"10.5281/zenodo.17324173","title":"INSONLARDA GENETIK KASALLIKLARNING MOLEKULYAR ASOSLARI","year":2025,"lang":"tr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"SDHA; Selection (genetic algorithm); Genetic model","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":[0.0006462128,0.000613312,0.0006715591,0.0009823593,0.001705209,0.00225384,0.0005225173,0.001373746,0.03436908],"category_scores_gemma":[0.0009875421,0.0004967618,0.0008551613,0.001550062,0.0005767126,0.00103751,0.0013007,0.001138046,0.02290734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140147,"about_ca_system_score_gemma":0.001321454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004066253,"about_ca_topic_score_gemma":0.006061172,"domain_scores_codex":[0.9994276,0.00008058549,0.00006291184,0.0001953217,0.0001572099,0.00007638491],"domain_scores_gemma":[0.999323,0.0001536199,0.0001749136,0.00007616976,0.0001652844,0.000107137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002252557,0.0002081948,0.07633244,0.004246558,0.0003103226,0.00628288,0.00399359,0.001200918,0.4735088,0.02656447,0.1205192,0.28458],"study_design_scores_gemma":[0.00005729359,0.0001369075,0.06974762,0.0006123031,0.0002412346,0.003703934,0.001217825,0.001173084,0.06553214,0.003113389,0.8543637,0.0001005942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.549136,0.05662221,0.0612108,0.01742656,0.006302877,0.0004967547,0.07674806,0.008861612,0.2231951],"genre_scores_gemma":[0.6233286,0.01821966,0.0376412,0.002634241,0.0005419103,0.0003518229,0.06968921,0.002577982,0.2450154],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03436908,"threshold_uncertainty_score":0.114976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974076777207251,"score_gpt":0.3215752446361809,"score_spread":0.2818344768641084,"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."}}