{"id":"W2030043102","doi":"10.5539/jas.v4n4p129","title":"Qualitative Sorting of Potatoes by Color Analysis in Machine Vision System","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Artificial intelligence; Computer vision; Computer science; Computer graphics (images); Machine vision; HSL and HSV; Image processing; Mathematics; Algorithm; Medicine; Image (mathematics)","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":[0.0006728377,0.0004778502,0.000403242,0.001609122,0.0004034319,0.0007998972,0.0005151493,0.0004165604,0.003579695],"category_scores_gemma":[0.001175554,0.0002678853,0.0003613878,0.001149407,0.0002809279,0.0005220929,0.000335925,0.0003404148,0.00132193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004487889,"about_ca_system_score_gemma":0.0004997898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014816,"about_ca_topic_score_gemma":0.002049023,"domain_scores_codex":[0.999284,0.00009448676,0.00004575324,0.0001579986,0.0003562433,0.00006149954],"domain_scores_gemma":[0.9991912,0.0001174304,0.00007608189,0.0000655628,0.000527517,0.00002211396],"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":[0.0002432612,0.0001212847,0.00626555,0.0004349591,0.000033324,0.0000789679,0.0003053097,0.003521573,0.6555091,0.001167747,0.002203625,0.3301153],"study_design_scores_gemma":[0.00004504405,0.0007540974,0.06582284,0.00008476786,0.0001097593,0.0006494765,0.0006160907,0.1906018,0.7226041,0.002468947,0.01609918,0.0001440654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1544083,0.000268634,0.8371645,0.0001215997,0.0001011691,0.0002996235,0.0003797364,0.003356822,0.003899654],"genre_scores_gemma":[0.3308526,0.0003151225,0.6628402,0.0001010308,0.00002734333,0.0003266978,0.0005667325,0.0001513425,0.004818908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003579695,"threshold_uncertainty_score":0.01197529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404322854093456,"score_gpt":0.3411504715531735,"score_spread":0.3271072430122389,"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."}}