{"id":"W2278485399","doi":"10.1017/cbo9780511615887.004","title":"Introduction to Smoothing","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Content (measure theory); Smoothing; Information retrieval; Mathematics; Computer vision","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":[0.004248156,0.001646979,0.00180997,0.002837509,0.001112416,0.003605583,0.002869272,0.001939241,0.08687504],"category_scores_gemma":[0.02327446,0.001046599,0.002313009,0.005231894,0.001241771,0.00409721,0.002200625,0.003479881,0.04572319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471907,"about_ca_system_score_gemma":0.001983444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0076262,"about_ca_topic_score_gemma":0.0062676,"domain_scores_codex":[0.9968766,0.001010034,0.000229662,0.0007481944,0.0009541858,0.0001813582],"domain_scores_gemma":[0.9924375,0.004018479,0.0001978854,0.001700464,0.001507432,0.0001381792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001065104,0.00008454973,0.0007002383,0.0005539621,0.0001916858,0.00009742329,0.0001823385,0.02126813,0.001305931,0.1597752,0.2005547,0.6151794],"study_design_scores_gemma":[0.00004362606,0.00004886325,0.001593843,0.0003277986,0.00008003249,0.0003226913,0.0001000973,0.1044842,0.002581871,0.4821198,0.4081958,0.0001014404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007169825,0.006853743,0.9631633,0.001436855,0.0008811394,0.000100294,0.001570617,0.004587061,0.02068998],"genre_scores_gemma":[0.04212464,0.0155582,0.8336154,0.00176566,0.003233296,0.0007210789,0.00708724,0.009077149,0.0868175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08687504,"threshold_uncertainty_score":0.2906259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897228864399707,"score_gpt":0.2193326301867018,"score_spread":0.2003603415427048,"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."}}