{"id":"W4293664241","doi":"10.3389/fpls.2022.963591","title":"Determination of spectral resolutions for multispectral detection of apple bruises using visible/near-infrared hyperspectral reflectance imaging","year":2022,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Rural Development Administration","keywords":"Bruise; Hyperspectral imaging; Multispectral image; Computer science; Artificial intelligence; Remote sensing; Pattern recognition (psychology); Computer vision; Wavelength; Near-infrared spectroscopy; Optics; Physics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042316,0.0006423037,0.0003982995,0.0007938883,0.0002699587,0.0006633385,0.000423014,0.0005034754,0.0006776855],"category_scores_gemma":[0.001349986,0.0003295804,0.000487498,0.0004253219,0.0003094754,0.0008509905,0.0003850497,0.0005569729,0.000385665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757943,"about_ca_system_score_gemma":0.0002554434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003698161,"about_ca_topic_score_gemma":0.001263233,"domain_scores_codex":[0.9993863,0.0001076122,0.00004021337,0.0001883244,0.0002196969,0.00005780733],"domain_scores_gemma":[0.9989877,0.000416348,0.0001843262,0.00009585608,0.0002842864,0.00003143226],"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":[0.00007944759,0.00004617004,0.001312906,0.0001305524,0.00001423632,0.00003029713,0.00006230825,0.001416367,0.9767546,0.0002329207,0.00008999158,0.01983016],"study_design_scores_gemma":[0.000005878094,0.0001149146,0.005758723,0.00001292623,0.00003118088,0.0001149274,0.00005537497,0.01373002,0.9790531,0.0001569533,0.0009415128,0.00002447961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6779464,0.002165155,0.3157279,0.0001384005,0.00005479109,0.0001563041,0.0002299725,0.000693455,0.002887579],"genre_scores_gemma":[0.6325521,0.001039433,0.3650725,0.00007890448,0.00001588089,0.0001300395,0.0001711977,0.0001189343,0.000821058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042316,"threshold_uncertainty_score":0.005512416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179599871480561,"score_gpt":0.2868610357288898,"score_spread":0.2689010485808337,"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."}}