{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006012482,0.0001692491,0.0002437279,0.000003099488,0.0003432075,0.00008524268,0.0001361674,0.00006174051,0.0002207274],"category_scores_gemma":[0.00006904629,0.00005858939,0.0001045131,0.0002482686,0.00004607909,0.0001187162,0.00008165948,0.0001043324,0.0001434532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347343,"about_ca_system_score_gemma":0.000005571852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008155,"about_ca_topic_score_gemma":0.0007290914,"domain_scores_codex":[0.9989058,0.00002764459,0.0002067887,0.0002933917,0.0002141079,0.0003522935],"domain_scores_gemma":[0.9996099,0.00004830265,0.0000812609,0.00001407458,0.00007283319,0.0001735613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004737827,0.0000291743,0.009311643,0.000008161689,0.00003144596,0.00004726906,0.0002047396,0.00002636924,0.9880754,0.00002745774,0.001404317,0.0007866189],"study_design_scores_gemma":[0.000554927,0.0009490605,0.7446622,0.00008582756,0.0002164447,0.0001341552,0.007176024,0.003600813,0.1106455,0.00002572355,0.130647,0.001302297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967393,0.0003493568,0.000001080499,0.001331201,0.0000468481,0.0001775435,0.00005408737,0.0001209583,0.001179635],"genre_scores_gemma":[0.9986511,0.00005043096,0.0001416151,0.0004492184,0.0004352144,0.00000761755,0.00001672426,0.000001071657,0.0002469592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.87743,"threshold_uncertainty_score":0.2639709,"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."}}