{"id":"W4407103178","doi":"10.28924/2291-8639-23-2025-31","title":"Some Statistical Estimations for Voting in Hough Transform","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Voting; Mathematics; Hough transform; Statistics; Artificial intelligence; Econometrics; Pattern recognition (psychology); Computer science; Image (mathematics); Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003179937,0.000691328,0.0008175666,0.00210977,0.0004923897,0.001413201,0.001569903,0.0008592379,0.001696321],"category_scores_gemma":[0.01519209,0.0005594773,0.001138321,0.002072155,0.001420899,0.002522792,0.001201338,0.001626776,0.0006869828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009790619,"about_ca_system_score_gemma":0.0006708826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828074,"about_ca_topic_score_gemma":0.001056258,"domain_scores_codex":[0.9971095,0.0009560777,0.0001828626,0.0004704527,0.001105333,0.0001759379],"domain_scores_gemma":[0.9950636,0.002759176,0.0003413913,0.0004969238,0.001242725,0.00009627338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001954375,0.00004242086,0.00341827,0.0002992869,0.000105439,0.0001720697,0.0002714852,0.281832,0.02052726,0.3703219,0.003147209,0.3196671],"study_design_scores_gemma":[0.000005742924,0.00003281137,0.000641124,0.00001688017,0.0000169083,0.00007415108,0.00001766533,0.9504296,0.005995378,0.03992165,0.002822949,0.00002519185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002239141,0.0002353743,0.9967954,0.00004969545,0.00002528681,0.000009572149,0.00001870324,0.00007876979,0.000548168],"genre_scores_gemma":[0.4174921,0.00175276,0.5758206,0.0001509241,0.0003932866,0.0002205043,0.0004724883,0.0003057508,0.003391644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003179937,"threshold_uncertainty_score":0.01681733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005457700793548841,"score_gpt":0.3128875675575982,"score_spread":0.3074298667640494,"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."}}