{"id":"W2107513051","doi":"10.1109/icsmc.1996.561373","title":"Midpoint line algorithm for high-speed high-accuracy-rotation of images","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Midpoint; Rotation (mathematics); Line (geometry); Computer science; Algorithm; Geodesy; Computer vision; Artificial intelligence; Geology; Mathematics; Geometry","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":[0.0005373476,0.0005286242,0.0004488073,0.0005636925,0.0003801367,0.0005881231,0.0009269186,0.0006689529,0.006114624],"category_scores_gemma":[0.001049474,0.0002657036,0.0003472212,0.0006297925,0.0003950941,0.001049399,0.0005685271,0.001100679,0.002257726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802815,"about_ca_system_score_gemma":0.0004849959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004587655,"about_ca_topic_score_gemma":0.0006485092,"domain_scores_codex":[0.999681,0.00005790207,0.00001239602,0.00004954412,0.0001771197,0.00002211539],"domain_scores_gemma":[0.999626,0.0001153513,0.00003970727,0.00008563244,0.0001126732,0.0000205508],"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":[0.0002987183,0.00005813722,0.0003926586,0.0001507825,0.00004116406,0.0001640389,0.0001786299,0.01417318,0.08438709,0.03239651,0.009138784,0.8586204],"study_design_scores_gemma":[0.0001956904,0.0005334918,0.001392484,0.00005119848,0.00006467602,0.001620147,0.00008070553,0.683278,0.1676557,0.02566228,0.119356,0.0001096211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00300986,0.0003402843,0.9944692,0.00005445053,0.00005124412,0.00002767911,0.00001751456,0.000931884,0.001097847],"genre_scores_gemma":[0.03580964,0.0002933425,0.9606923,0.00003353809,0.00005331588,0.00005886118,0.00008225154,0.00008413979,0.002892584],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006114624,"threshold_uncertainty_score":0.02045548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312971535241734,"score_gpt":0.2844606901865617,"score_spread":0.2613309748341444,"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."}}