{"id":"W3081745645","doi":"10.3390/horticulturae6030053","title":"Measuring Camellia Petal Color Using a Portable Color Sensor","year":2020,"lang":"en","type":"article","venue":"Horticulturae","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petal; Camellia; Chart; Color difference; Mathematics; Artificial intelligence; Computer vision; Computer science; Horticulture; Biology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002822331,0.0004015366,0.0002609402,0.0005860369,0.0001607301,0.0004137188,0.0003443102,0.000291529,0.001274649],"category_scores_gemma":[0.0004173993,0.0001427595,0.0003113808,0.0005455745,0.0001516029,0.0002904354,0.000233091,0.0002724207,0.000485741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350826,"about_ca_system_score_gemma":0.0001832708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406694,"about_ca_topic_score_gemma":0.002472923,"domain_scores_codex":[0.9995061,0.00003948275,0.00002058655,0.0001746507,0.0002295397,0.00002962649],"domain_scores_gemma":[0.9996291,0.00004390507,0.00007518543,0.00003689577,0.0001865351,0.0000283754],"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":[0.00009499953,0.00003706184,0.007999633,0.00009781502,0.00001487616,0.00006242479,0.00007401732,0.0001394482,0.9806312,0.00005036964,0.0002313544,0.01056684],"study_design_scores_gemma":[0.00002675031,0.001091897,0.2240093,0.00003100676,0.0001135214,0.001130947,0.0002667912,0.005564696,0.7592896,0.00008835405,0.008326368,0.00006076268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938731,0.0005674519,0.05132153,0.00005460164,0.00007765826,0.0002992119,0.001771841,0.000682449,0.006494338],"genre_scores_gemma":[0.8959826,0.000552364,0.0932093,0.0002333347,0.00003122186,0.000384523,0.00199882,0.00008670473,0.007521042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406694,"threshold_uncertainty_score":0.004264116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1787190684638341,"score_gpt":0.2129526164989558,"score_spread":0.03423354803512166,"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."}}