{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001985829,0.0002400627,0.0002550468,0.0004947072,0.006931903,0.001712028,0.00138958,0.0001710148,0.04137017],"category_scores_gemma":[0.002278367,0.000277339,0.00009567778,0.002635102,0.0005782162,0.0003414975,0.001193744,0.0005193086,0.002423761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003587413,"about_ca_system_score_gemma":0.00003428055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000443957,"about_ca_topic_score_gemma":0.00002753456,"domain_scores_codex":[0.9968777,0.0007872452,0.0004797949,0.000627362,0.0006047677,0.0006230875],"domain_scores_gemma":[0.9974169,0.00006735037,0.0002213992,0.000445513,0.001678732,0.0001701386],"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":[0.00003671678,0.0003039755,0.0001775569,0.0001523286,0.0002406267,0.00000677915,0.03550715,0.00002487326,0.0007122062,0.1530188,0.6383711,0.1714479],"study_design_scores_gemma":[0.0003987259,0.00007664919,0.005911679,0.00009919811,0.00004248026,0.000004346079,0.02386493,0.00007059128,0.0001090908,0.0004852644,0.9686849,0.0002521929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03497965,0.001949226,0.002307407,0.01311912,0.001130769,0.000803025,0.0001214444,0.001641245,0.9439481],"genre_scores_gemma":[0.9550089,0.001970699,0.0007707648,0.001989783,0.0009615178,1.886289e-7,0.0009346436,0.001612583,0.03675091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9200293,"threshold_uncertainty_score":0.9999679,"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."}}