{"id":"W4409841120","doi":"10.34248/bsengineering.1605982","title":"Performance Evaluation of G7 Countries in Terms of Patent Applications","year":2025,"lang":"en","type":"article","venue":"Black Sea Journal of Engineering and Science","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01253793,0.0008936633,0.0008683297,0.008771486,0.0008412184,0.003857989,0.0005539818,0.00108831,0.001931685],"category_scores_gemma":[0.01817467,0.0001614734,0.001450192,0.007834232,0.0006673796,0.001426286,0.001766503,0.0004201579,0.0003909091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802906,"about_ca_system_score_gemma":0.001905152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003911132,"about_ca_topic_score_gemma":0.003842485,"domain_scores_codex":[0.9919596,0.00393089,0.0006006858,0.000488618,0.002040053,0.0009800756],"domain_scores_gemma":[0.9889498,0.004627274,0.001400232,0.0006248953,0.003533493,0.0008643661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003199,0.0007179048,0.2828705,0.001502848,0.001282852,0.002001332,0.001633148,0.4054458,0.01327962,0.02120357,0.005429422,0.261434],"study_design_scores_gemma":[0.0002121443,0.005773489,0.3143055,0.0004966261,0.001201668,0.001024305,0.0143986,0.5964907,0.03115781,0.01351849,0.0211255,0.0002953016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704759,0.0006591881,0.009412248,0.0002160942,0.00003564774,0.0002395716,0.0006996927,0.00007263067,0.01818908],"genre_scores_gemma":[0.989669,0.0002835674,0.0085514,0.00002352464,0.000006972928,0.00007776093,0.0005831423,0.00001218437,0.0007924134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9912285,"threshold_uncertainty_score":0.06630766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253138751622036,"score_gpt":0.3975490095980386,"score_spread":0.272235134435835,"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."}}