{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830419,0.0001548604,0.0001120738,0.00001391457,0.0003029756,0.0003067466,0.0003299101,0.00006125218,0.0000495219],"category_scores_gemma":[0.000001633264,0.0000606295,0.00008021853,0.0002103699,0.00005313383,0.0001118945,0.0000513977,0.0001836739,0.0000846902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003338257,"about_ca_system_score_gemma":0.00001842193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001246975,"about_ca_topic_score_gemma":0.00001600266,"domain_scores_codex":[0.9988627,0.00001226588,0.0001796439,0.0003829045,0.0003248223,0.0002376385],"domain_scores_gemma":[0.9995293,0.00001307831,0.00006186772,0.0001083748,0.000186884,0.0001004764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008433324,0.0004216011,0.0003240265,0.00001463643,0.000004236142,2.036911e-7,0.00002378959,0.000009591459,0.4710724,0.00005860926,0.000949833,0.5271126],"study_design_scores_gemma":[0.0003777228,0.0001501456,0.01380438,0.00003760896,0.00001702088,0.000008058656,0.00006142617,0.008185959,0.02495095,0.0002666288,0.9516461,0.0004939369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4917498,0.0003731952,0.4148679,0.01659915,0.000144155,0.007478151,0.0002205002,0.001480565,0.06708653],"genre_scores_gemma":[0.9781315,5.236105e-7,0.02032912,0.0007150989,0.0002985835,0.0004175338,0.00005639754,0.00000219031,0.00004898919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9506963,"threshold_uncertainty_score":0.2957965,"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."}}