{"id":"W1754694348","doi":"10.1109/icpr.1988.28290","title":"Reconstruction of two dimensional patterns by Fourier descriptors","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Signature (topology); Invariant (physics); Fourier transform; Fourier series; Computer science; Point (geometry); Algorithm; Amplitude; Mathematics; Artificial intelligence; Pattern recognition (psychology); Geometry; Mathematical analysis; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001490438,0.00005637334,0.00006938311,0.00004141391,0.0000354021,0.0000227032,0.0001606389,0.00002597798,0.0001595966],"category_scores_gemma":[0.00002131105,0.00004599421,0.00003446535,0.0001520734,0.00003148225,0.0002538329,0.0000229243,0.00004353404,0.00001039691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001668114,"about_ca_system_score_gemma":0.00002760746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000206589,"about_ca_topic_score_gemma":7.463634e-7,"domain_scores_codex":[0.9994082,0.00004226625,0.0001533417,0.0001524938,0.0001525471,0.00009108456],"domain_scores_gemma":[0.9995821,0.00002019626,0.00006315247,0.0002142705,0.00008318233,0.00003709353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004347923,0.0001755335,0.01837064,0.0000176974,0.00002546764,0.000001683801,0.0001110843,0.000001818486,0.1777609,0.4737687,0.0110921,0.3186699],"study_design_scores_gemma":[0.0001412504,0.00003421146,0.0003573935,0.000008745198,0.000002097397,0.00002551404,0.000009608176,0.00255257,0.9857395,0.008270314,0.002764624,0.00009414283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03356505,0.00003269501,0.9613866,0.0001540357,0.0001944107,0.00005674883,0.000001852638,0.0001093282,0.004499267],"genre_scores_gemma":[0.8515246,0.000006840348,0.1467274,0.0001473128,0.000007644217,0.00000491408,0.000001333431,0.000003538892,0.00157642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8179595,"threshold_uncertainty_score":0.1875589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594393908909451,"score_gpt":0.2421257922641028,"score_spread":0.2261818531750083,"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."}}