{"id":"W4291669456","doi":"","title":"Fast Central Catadioptric Line Extraction","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Catadioptric system; Extraction (chemistry); Computer science; Line (geometry); Chromatography; Chemistry; Mathematics; Optics; Physics","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":[0.0005512767,0.001578094,0.001048179,0.001565885,0.0007002912,0.001604443,0.0007876228,0.00157576,0.02317641],"category_scores_gemma":[0.001577913,0.0006085226,0.0007161003,0.001939624,0.0004055144,0.001627615,0.001911398,0.001392465,0.01527421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004540438,"about_ca_system_score_gemma":0.0009916283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116963,"about_ca_topic_score_gemma":0.002398204,"domain_scores_codex":[0.9992623,0.0001414703,0.00002384372,0.0001176811,0.0003731739,0.00008148478],"domain_scores_gemma":[0.9988285,0.0003054919,0.00008308215,0.0003191313,0.0003980166,0.00006574777],"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":[0.001258317,0.00005915884,0.0005294975,0.0003019921,0.0000689252,0.0002713329,0.0001186253,0.008426506,0.2202828,0.009320388,0.02206743,0.737295],"study_design_scores_gemma":[0.0002070826,0.0002736652,0.004852674,0.0001581607,0.0001165108,0.002348489,0.0001389265,0.5176203,0.3675013,0.01443051,0.09220475,0.0001475681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007906381,0.0006776094,0.9789277,0.0002316906,0.0001429715,0.00006265112,0.0003786953,0.004371522,0.007300797],"genre_scores_gemma":[0.07843906,0.0005901889,0.898356,0.0001669071,0.0001393977,0.0001085252,0.001041165,0.0007268579,0.02043187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02317641,"threshold_uncertainty_score":0.07753277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825617146550877,"score_gpt":0.2642765232524855,"score_spread":0.2460203517869767,"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."}}