{"id":"W2189072119","doi":"","title":"INTELLIGENT COMPUTER VISION SYSTEM (SAIF) FOR AUTOMATED INSPECTION OF GINSENG ROOTS QUALITY","year":2005,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Thresholding; Process (computing); Software; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000175605,0.0001324135,0.0002948479,0.0001185854,0.00007386978,0.00002257693,0.0001274308,0.0001181459,0.0002351712],"category_scores_gemma":[0.0000285083,0.0001133255,0.0001472665,0.0002937992,0.00003024413,0.00008319522,0.00003500664,0.00007312388,0.00002538577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398052,"about_ca_system_score_gemma":0.00001917077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371747,"about_ca_topic_score_gemma":0.00003969371,"domain_scores_codex":[0.9989098,0.0000138773,0.0004749986,0.0002415203,0.0001837774,0.0001760116],"domain_scores_gemma":[0.9992564,0.0001277868,0.0001826956,0.0002467947,0.0001290146,0.0000572753],"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":[0.0005069032,0.001652418,0.006040263,0.003988629,0.0009019518,0.000003407419,0.0006471986,0.006013414,0.9003593,0.01574077,0.03225472,0.03189101],"study_design_scores_gemma":[0.0003487322,0.00005366108,0.0008322533,0.00003966165,0.00006353783,0.000005352656,0.0004476235,0.2387915,0.7579683,0.00000920391,0.001302535,0.000137667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.830429,0.0002110626,0.1511205,0.0001448487,0.0001230758,0.0001375412,0.00002128832,0.002365761,0.01544693],"genre_scores_gemma":[0.9896716,0.000008743144,0.009242642,0.00003295987,0.0002362653,0.000009617282,0.0000259657,0.00001386068,0.0007583383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.232778,"threshold_uncertainty_score":0.4621278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624415418336703,"score_gpt":0.3482568052121535,"score_spread":0.3220126510287865,"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."}}