{"id":"W7132070262","doi":"","title":"Sıralama ve arama algoritmalarının geliştirilmesi","year":2017,"lang":"en","type":"dissertation","venue":"AYBU AVESIS","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute of Steel Construction","keywords":"Headline; Context (archaeology); Sorting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008565664,0.001468116,0.0009997616,0.001209571,0.001204997,0.00352884,0.002012843,0.001303552,0.02049129],"category_scores_gemma":[0.002670764,0.0006092326,0.001274198,0.001383098,0.0009262599,0.003573496,0.001389416,0.001518126,0.008268305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261111,"about_ca_system_score_gemma":0.002027449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007998014,"about_ca_topic_score_gemma":0.006422389,"domain_scores_codex":[0.9987729,0.0001559253,0.0001187436,0.0002387478,0.0005249676,0.0001887412],"domain_scores_gemma":[0.9986402,0.0003624775,0.0001043043,0.0003238035,0.0005144509,0.00005474748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001185448,0.0002193917,0.002392928,0.001142703,0.0001622586,0.0006609324,0.001063525,0.02533977,0.07459529,0.03407902,0.03272949,0.8264293],"study_design_scores_gemma":[0.0002102965,0.000698399,0.00386353,0.0003788038,0.0003720022,0.002239363,0.002083171,0.3436337,0.2408522,0.04935618,0.3559942,0.0003180858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05219159,0.003782348,0.8703332,0.001451388,0.0006435955,0.000360498,0.001240235,0.02922157,0.04077557],"genre_scores_gemma":[0.3209044,0.002993561,0.6177077,0.0006709461,0.0001923162,0.0003617334,0.002736994,0.002803656,0.05162872],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02049129,"threshold_uncertainty_score":0.06855011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423835752764654,"score_gpt":0.289551204436753,"score_spread":0.2753128469091065,"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."}}