{"id":"W4406250240","doi":"10.18280/ts.410638","title":"Image Classification and Retrieval of TCM Materials Based on Feature Enhancement","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hubei University","keywords":"Feature (linguistics); Pattern recognition (psychology); Computer science; Artificial intelligence; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.000532486,0.00007873158,0.0001013572,0.00005386088,0.0001357082,0.00008319681,0.00007825852,0.00004289713,0.0003318752],"category_scores_gemma":[0.00002201018,0.0000690511,0.00002727861,0.000144342,0.0001076585,0.00007359796,0.00001051394,0.00006166954,0.00001021627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005428902,"about_ca_system_score_gemma":0.00006135923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001584323,"about_ca_topic_score_gemma":0.000001817961,"domain_scores_codex":[0.9991004,0.00008973648,0.0001469788,0.0001958533,0.0003183102,0.0001487446],"domain_scores_gemma":[0.9996933,0.0001010799,0.0000510922,0.00006772989,0.00004058514,0.00004623048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002217445,0.0002245446,0.00006099746,0.0002191142,0.00004464303,0.00001523549,0.005379695,0.00006361277,0.8833048,0.02808455,0.003080091,0.07930098],"study_design_scores_gemma":[0.003358158,0.002615567,0.01387756,0.002191547,0.000238767,0.000003194753,0.006678107,0.1467162,0.6560097,0.008827349,0.1579773,0.001506534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248617,0.0003808659,0.05403829,0.008623943,0.00111861,0.0007806629,0.00008137026,0.0002717741,0.009842805],"genre_scores_gemma":[0.9954496,0.00002665256,0.003761566,0.00008469228,0.0002864717,0.000005596039,0.0000136362,0.000007038262,0.0003647186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2272951,"threshold_uncertainty_score":0.3633801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079582882662831,"score_gpt":0.307911707170955,"score_spread":0.2871158783443267,"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."}}