{"id":"W4288214789","doi":"10.1007/978-1-0716-2537-8_9","title":"ColourQuant: A High-Throughput Technique to Extract and Quantify Color Phenotypes from Plant Images","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pipeline (software); Throughput; RGB color model; Artificial intelligence; Pixel; Computer vision; Biology; Computer science","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":[0.001576652,0.001467516,0.001525255,0.003352456,0.0007523933,0.00199359,0.002902348,0.001272498,0.008065199],"category_scores_gemma":[0.002118401,0.001540305,0.001165734,0.001828275,0.0005674417,0.001691413,0.001879256,0.002944358,0.006560199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009021135,"about_ca_system_score_gemma":0.0006665898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735246,"about_ca_topic_score_gemma":0.004760025,"domain_scores_codex":[0.9989071,0.000106578,0.00005639557,0.0002292488,0.0006096795,0.00009098742],"domain_scores_gemma":[0.9982681,0.0006370349,0.0002388389,0.0003448841,0.0003668522,0.0001442107],"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":[0.000158107,0.00006264979,0.000700273,0.0004609914,0.0001004521,0.00009007523,0.00009302825,0.000474151,0.942144,0.001214203,0.01107894,0.04342321],"study_design_scores_gemma":[0.00006615252,0.00008182944,0.008519658,0.00005936273,0.00008865491,0.0009429139,0.00005766531,0.03345405,0.9203352,0.001864697,0.03432011,0.0002095963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0230578,0.001013471,0.9254412,0.0003147867,0.0001510171,0.0003367137,0.009722887,0.03747105,0.002491112],"genre_scores_gemma":[0.05315218,0.001292803,0.9205041,0.000405505,0.00008305297,0.001396183,0.01052185,0.00689811,0.005746334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008065199,"threshold_uncertainty_score":0.02698076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448652943776107,"score_gpt":0.3336733811494774,"score_spread":0.2888080867718667,"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."}}