{"id":"W2105736065","doi":"10.1109/icosp.2002.1179978","title":"Fourier transform based image shape analysis and its application to flower recognition","year":2003,"lang":"en","type":"article","venue":"","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Fourier transform; Artificial intelligence; Image (mathematics); Computer science; Computer vision; Shape analysis (program analysis); Fourier analysis; Pattern recognition (psychology); Image processing; Mathematics; Mathematical analysis","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":[0.0003820549,0.0003063821,0.0004240252,0.00122337,0.0001755036,0.0005606875,0.0004590291,0.0005137182,0.001861342],"category_scores_gemma":[0.001119475,0.0001898388,0.0004888808,0.001200838,0.0005422615,0.000705951,0.0003459464,0.0004812966,0.00115246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453021,"about_ca_system_score_gemma":0.0001982424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057484,"about_ca_topic_score_gemma":0.000692647,"domain_scores_codex":[0.9997476,0.00004190931,0.00001380319,0.00004960136,0.0001255301,0.00002162571],"domain_scores_gemma":[0.9995828,0.0001769927,0.00003234794,0.00006365068,0.0001263122,0.00001789809],"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":[0.0001276555,0.00004394508,0.0008679765,0.000177183,0.00004211355,0.0002192216,0.0001098783,0.01239292,0.1772662,0.01117103,0.001815622,0.7957662],"study_design_scores_gemma":[0.00004017906,0.0003701442,0.009390146,0.00006035665,0.0001032815,0.003075095,0.0001924195,0.6628175,0.266448,0.02069245,0.03664177,0.0001686905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01614798,0.0009065777,0.9795365,0.000127342,0.0000633208,0.00003233836,0.00006495652,0.0005364917,0.00258443],"genre_scores_gemma":[0.3146315,0.00285896,0.6767295,0.0001196284,0.0002116241,0.00007996072,0.0004050908,0.0001822931,0.004781458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001861342,"threshold_uncertainty_score":0.006226778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726168618277459,"score_gpt":0.2106968034719999,"score_spread":0.1834351172892253,"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."}}