{"id":"W4393970319","doi":"10.1145/3644116.3644269","title":"Automated Grading of Salvia miltiorrhiza Roots Using Neural Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Salvia miltiorrhiza; Artificial neural network; Grading (engineering); Computer science; Artificial intelligence; Engineering; Medicine; Traditional Chinese medicine","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":[0.0004266046,0.0008818582,0.0005131048,0.001466864,0.00026548,0.0005892779,0.0004362396,0.0005640564,0.0008544112],"category_scores_gemma":[0.001027705,0.0001697239,0.0007138253,0.0007083305,0.000191777,0.0006772953,0.0003467364,0.000455854,0.0003688157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006005798,"about_ca_system_score_gemma":0.0003858456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006961801,"about_ca_topic_score_gemma":0.0117894,"domain_scores_codex":[0.9996579,0.00004401815,0.0000313657,0.0001515073,0.00007532338,0.00003992033],"domain_scores_gemma":[0.999611,0.000097786,0.00007349288,0.00003992615,0.0001563145,0.00002150872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001124495,0.000502443,0.04933351,0.0008245736,0.0002559352,0.0003941607,0.0001977648,0.1333717,0.1990828,0.001008225,0.006011159,0.6078932],"study_design_scores_gemma":[0.00003323744,0.0001618484,0.03259966,0.00003553131,0.000124642,0.00006168492,0.00009527107,0.9173269,0.04512439,0.001267146,0.003130816,0.00003880089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8419174,0.002679925,0.1433801,0.0004906368,0.0001611052,0.0002305488,0.002582857,0.00327499,0.005282518],"genre_scores_gemma":[0.8993821,0.0006671291,0.09337711,0.0001178579,0.00004350255,0.00008322874,0.003502145,0.00006548905,0.002761433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006961801,"threshold_uncertainty_score":0.01384252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07607993845329726,"score_gpt":0.2512746077228533,"score_spread":0.1751946692695561,"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."}}