{"id":"W2914148146","doi":"10.1023/a:1024440524579","title":"Optical Snow","year":2003,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McGill University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Computer science; Mathematics","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":[0.0001904342,0.0006786218,0.000367002,0.001233154,0.001923005,0.001766292,0.0006097191,0.001021423,0.04859445],"category_scores_gemma":[0.0004344748,0.0003614258,0.0004658428,0.000860407,0.0004360587,0.001314471,0.001699232,0.0009455443,0.01469557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006729689,"about_ca_system_score_gemma":0.001245245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004958108,"about_ca_topic_score_gemma":0.009078428,"domain_scores_codex":[0.9997136,0.00001490119,0.000007807379,0.00007569874,0.0001340105,0.0000539362],"domain_scores_gemma":[0.9998041,0.00001576741,0.00001410298,0.0000462088,0.00007851225,0.00004134935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005134778,0.0002227546,0.006100265,0.0004273379,0.00006069054,0.0014037,0.0007878189,0.008425304,0.1093621,0.08647023,0.263434,0.5227923],"study_design_scores_gemma":[0.00005881778,0.0001433801,0.006067453,0.00009083269,0.00002962204,0.0009687814,0.0006482927,0.01283433,0.0227203,0.02024486,0.9361494,0.00004390916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05781338,0.00130757,0.09565084,0.002648313,0.003720863,0.0003413179,0.003194113,0.004251426,0.8310722],"genre_scores_gemma":[0.4585673,0.002057167,0.04670252,0.001840391,0.0008547593,0.0001881055,0.004588995,0.001482922,0.4837179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04859445,"threshold_uncertainty_score":0.1625646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060845804025509,"score_gpt":0.3168838566784092,"score_spread":0.3062753986381542,"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."}}