{"id":"W2373705716","doi":"","title":"A Measurement Approach ofLeaf Area Based on Digital Image Processing","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Measure (data warehouse); Hough transform; Distortion (music); Image processing; Digital image processing; Computer vision; Artificial intelligence; Digital image; Image (mathematics); Product (mathematics); Data mining; Mathematics; Geometry; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005791956,0.0006778137,0.0005881464,0.00310728,0.0003687056,0.0008658857,0.001035403,0.0006459244,0.001882636],"category_scores_gemma":[0.00111437,0.0003714244,0.0005102839,0.00223159,0.000568739,0.00155979,0.0008224894,0.0006382737,0.0009315162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325066,"about_ca_system_score_gemma":0.0003188034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392866,"about_ca_topic_score_gemma":0.001853752,"domain_scores_codex":[0.9992003,0.00009735566,0.00003974134,0.000249842,0.0003753204,0.00003742097],"domain_scores_gemma":[0.9992798,0.0001768561,0.00008943622,0.0001265933,0.000297853,0.0000295115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000078997,0.00013137,0.007214612,0.0005518426,0.0001195228,0.0001099778,0.0002933677,0.01208259,0.2870203,0.01136389,0.001901966,0.6791316],"study_design_scores_gemma":[0.00004651305,0.0004828303,0.04682199,0.0001279365,0.0002402801,0.001631919,0.0003364221,0.5267655,0.3647958,0.01630589,0.0421489,0.0002960602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01528535,0.0004590972,0.9810983,0.00005467475,0.0000620861,0.00006307512,0.0001294346,0.0009872867,0.001860655],"genre_scores_gemma":[0.1814316,0.0007014888,0.8148919,0.0001104502,0.0001103611,0.0001795045,0.0003822364,0.0001620076,0.002030404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00310728,"threshold_uncertainty_score":0.006298065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567818648571372,"score_gpt":0.1999513104446576,"score_spread":0.1742731239589439,"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."}}