{"id":"W2127397841","doi":"10.1109/icpr.1994.576270","title":"Surface profile description: reliable geometric primitive extraction","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Conic section; Spurious relationship; Sampling (signal processing); Range (aeronautics); Polynomial; Computer science; Observational error; Surface (topology); Position (finance); Object (grammar); Set (abstract data type); Algorithm; Stability (learning theory); Process (computing); Reliability (semiconductor); Ellipse; Mathematics; Artificial intelligence; Computer vision; Geometry; Statistics; Mathematical analysis; Physics; Engineering","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":[0.001346016,0.0009259696,0.001015301,0.00288454,0.0003325336,0.001401329,0.001731046,0.001269998,0.00146811],"category_scores_gemma":[0.006879043,0.0007480269,0.000852834,0.001906581,0.0007972775,0.002396686,0.001661789,0.001372516,0.002155717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990023,"about_ca_system_score_gemma":0.0007034189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118683,"about_ca_topic_score_gemma":0.001013669,"domain_scores_codex":[0.998045,0.0002824612,0.00006654007,0.000238712,0.001232959,0.0001344108],"domain_scores_gemma":[0.9962154,0.0007634027,0.0005066175,0.001608594,0.0008301101,0.0000758289],"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":[0.0005379403,0.00006006067,0.005095026,0.0003344598,0.0001096856,0.0005083954,0.0001980459,0.2258408,0.125615,0.01053645,0.002874184,0.6282899],"study_design_scores_gemma":[0.00001777195,0.00009924846,0.003073136,0.00002321335,0.00002970499,0.0005280029,0.00005965995,0.9307123,0.0529716,0.009294297,0.003140514,0.00005053534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01543903,0.0001156811,0.9826154,0.00004999589,0.000008061274,0.00002365092,0.0001991773,0.001155903,0.0003931643],"genre_scores_gemma":[0.4772426,0.0003651827,0.5181866,0.00005409035,0.0000407858,0.00007726355,0.002205851,0.0005178661,0.001309824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00288454,"threshold_uncertainty_score":0.007118523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09096907423395309,"score_gpt":0.2723884290213153,"score_spread":0.1814193547873622,"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."}}