{"id":"W4285012945","doi":"10.3390/agriculture12070995","title":"Detection of Unripe Kernels and Foreign Materials in Chickpea Mixtures Using Image Processing","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Ilam University","keywords":"Linear discriminant analysis; Support vector machine; Artificial intelligence; Pattern recognition (psychology); Image processing; Artificial neural network; MATLAB; Computer science; Kernel (algebra); Image (mathematics); Mathematics; Machine learning","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":[0.00007324526,0.0001082251,0.0001917608,0.00007010403,0.0001248934,0.00003043435,0.00008873631,0.00006775439,0.0004118433],"category_scores_gemma":[0.00002899774,0.0000811303,0.00003080217,0.0004968737,0.00002781611,0.00009339339,0.00006974034,0.0001524668,2.769147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006457189,"about_ca_system_score_gemma":0.00001425431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679964,"about_ca_topic_score_gemma":0.000009861531,"domain_scores_codex":[0.9993296,0.00001717294,0.000183968,0.0001843103,0.0001448493,0.0001400642],"domain_scores_gemma":[0.9997123,0.00001538257,0.0001422496,0.00007317092,0.00003344025,0.00002348824],"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":[0.00001838845,0.00003906904,0.001153156,0.0001355509,0.00001573458,0.000005266841,0.0002306602,0.00003082749,0.998069,0.00001455609,0.00003147597,0.000256265],"study_design_scores_gemma":[0.0002083668,0.0000143497,0.001656799,0.00001807885,0.00005929515,0.00004927906,0.002100247,0.00005006067,0.9953961,0.000268382,0.00006819562,0.0001108867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966758,0.001478954,0.00007076613,0.00001664125,0.00001781675,0.00004258876,0.00002537887,0.00002365821,0.001648424],"genre_scores_gemma":[0.9994113,0.00002182918,0.0002590329,0.00001867912,0.00006997211,0.00001310458,0.00002027683,0.000007813525,0.0001779237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735597,"threshold_uncertainty_score":0.4509396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009252900966838755,"score_gpt":0.2416292306897176,"score_spread":0.2323763297228788,"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."}}