{"id":"W2040931147","doi":"10.1117/12.452345","title":"Generalized moment function and conformal transform","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Centroid; Artificial intelligence; Object (grammar); Convolution (computer science); Pattern recognition (psychology); Feature (linguistics); Moment (physics); Computer vision; Feature extraction; Conformal map; Computer science; Mathematics; Geometry; Physics; Artificial neural network","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":[0.0002547091,0.0002670558,0.0003146809,0.0001134172,0.00006970688,0.000100294,0.0003278024,0.0001836967,0.00005122053],"category_scores_gemma":[0.00007384131,0.0002303998,0.0003205143,0.0002869175,0.0001425289,0.0005596782,0.00004630506,0.0002555603,0.000004283469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009190639,"about_ca_system_score_gemma":0.000004772136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002334289,"about_ca_topic_score_gemma":6.460819e-8,"domain_scores_codex":[0.9984317,5.629263e-9,0.0005506154,0.0002183843,0.0004537169,0.0003455815],"domain_scores_gemma":[0.9991964,0.00004780023,0.00009793563,0.00003801579,0.0004703993,0.0001494549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005174425,0.00009266707,0.0002225026,0.0006901589,0.0004771238,4.333443e-8,0.0002370917,0.0007522905,0.3003457,0.6899355,0.005195092,0.002000104],"study_design_scores_gemma":[0.004169967,0.0006835351,0.002013199,0.0002867655,0.00040358,0.00002955545,0.001162019,0.8308653,0.1147076,0.003311162,0.04136456,0.00100275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896386,0.0002833296,0.0003292458,0.001283203,0.0002993729,0.0003722316,0.00002992641,0.0001679046,0.007596195],"genre_scores_gemma":[0.959858,0.000666553,0.03808645,0.0001839062,0.0004115491,0.0001105985,0.0000118356,0.00008808861,0.0005830047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.830113,"threshold_uncertainty_score":0.9395431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119079845759146,"score_gpt":0.202396238343769,"score_spread":0.1912054398861776,"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."}}