{"id":"W4392293032","doi":"10.18280/ijdne.190135","title":"The Effect of Semantic Shifts on Cognitive Ability Between the User and Industrial Products","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Diyala","keywords":"Cognition; Computer science; Human–computer interaction; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004154602,0.0004588208,0.0003213842,0.0009265548,0.0008426312,0.00323132,0.0008210869,0.0009699946,0.01028925],"category_scores_gemma":[0.05762636,0.0002977003,0.0006324581,0.000507683,0.002007487,0.002835645,0.003043613,0.00135212,0.0005271434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009885926,"about_ca_system_score_gemma":0.0006051355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154581,"about_ca_topic_score_gemma":0.0008805761,"domain_scores_codex":[0.9948718,0.002559262,0.0002468265,0.0006126062,0.001179788,0.0005296687],"domain_scores_gemma":[0.9250228,0.06512132,0.002781757,0.002962039,0.00243209,0.001680014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01182244,0.008573143,0.3353647,0.001283186,0.0008520033,0.002911045,0.1439914,0.01403341,0.07264792,0.02335018,0.002490271,0.3826803],"study_design_scores_gemma":[0.0002711483,0.004136305,0.8974809,0.00012194,0.0003638722,0.0007746568,0.05011601,0.007283779,0.01680128,0.01600612,0.006449594,0.0001944242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874014,0.0001225845,0.0008128154,0.0001898444,0.00001228455,0.00002308478,0.00001931755,0.0000346316,0.0113839],"genre_scores_gemma":[0.9991139,0.00002694988,0.000274905,0.00002863694,0.000004313411,0.00001330124,0.00001265987,0.000006986998,0.0005184666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028925,"threshold_uncertainty_score":0.03442097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695242966848709,"score_gpt":0.3029300077584136,"score_spread":0.2859775780899265,"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."}}