{"id":"W4366810975","doi":"10.23977/jaip.2023.060203","title":"Research on the application of artificial intelligence in computer recognition technology","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Computer technology; Applications of artificial intelligence; Context (archaeology); Music and artificial intelligence; Marketing and artificial intelligence; Technology development; Engineering; Intelligent decision support system; Multimedia; Manufacturing engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006856702,0.0001237591,0.0002149845,0.001243567,0.0002188149,0.0001473514,0.001682999,0.0001427625,0.00001977053],"category_scores_gemma":[0.001880667,0.0000942488,0.00007345322,0.005789768,0.0002831764,0.0008787917,0.0003077615,0.001009539,0.0008107836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000886718,"about_ca_system_score_gemma":0.0001905408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005700014,"about_ca_topic_score_gemma":0.00004607753,"domain_scores_codex":[0.9969434,0.0004566816,0.001129683,0.0003281681,0.0008013584,0.0003406708],"domain_scores_gemma":[0.9936011,0.003600376,0.0007416622,0.0006661934,0.001324122,0.0000665332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006638152,0.0002855915,0.000007137322,0.000005483307,0.00001088248,0.00001481971,0.0004678846,0.001744086,0.002406221,0.2932752,0.000234706,0.7014816],"study_design_scores_gemma":[0.00001704747,0.0006914246,0.00008118953,0.0001089793,0.00001487522,0.00009189058,0.00494508,0.3210059,0.1006671,0.5680093,0.004194567,0.0001726625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01638016,0.00003104521,0.9529554,0.02968342,0.0002948839,0.0003355386,0.000004992923,0.00004088765,0.0002737156],"genre_scores_gemma":[0.9488919,0.0002738175,0.05014592,0.0002806384,0.0003391143,0.00004710957,0.000004278319,0.00001127506,0.000005901965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9325118,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2478859255365832,"score_gpt":0.4459868720762145,"score_spread":0.1981009465396313,"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."}}