{"id":"W2101038025","doi":"10.1007/978-3-642-59742-8_35","title":"Wavelets and collocation: An interesting similarity","year":2000,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Collocation (remote sensing); Similarity (geometry); Wavelet; Mathematics; Artificial intelligence; Computer science; Machine learning; Image (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":[0.0008391924,0.0006549278,0.0008160127,0.001731722,0.0009714762,0.003600043,0.0009434696,0.002391236,0.003531225],"category_scores_gemma":[0.007253951,0.0004359398,0.0004819181,0.002962274,0.003158738,0.006640607,0.002402711,0.002604863,0.0008408866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006335175,"about_ca_system_score_gemma":0.0003743029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005878334,"about_ca_topic_score_gemma":0.0004996951,"domain_scores_codex":[0.999289,0.0002102417,0.00004435662,0.0001883369,0.0002384394,0.00002956093],"domain_scores_gemma":[0.9981821,0.001096113,0.0001042421,0.0002646209,0.0002843715,0.00006864978],"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":[0.00001606661,0.000007751883,0.0001456495,0.0000687818,0.00001170568,0.00008364684,0.0002793538,0.0007694918,0.0008204309,0.9460621,0.008868397,0.04286661],"study_design_scores_gemma":[0.000007724726,0.00001838526,0.000216134,0.00002989161,0.000008053761,0.000315894,0.0001088605,0.006281084,0.000412108,0.9531023,0.03948545,0.00001405305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02155682,0.03043914,0.8614922,0.01518492,0.00560583,0.00004727313,0.0002138681,0.0002019921,0.06525808],"genre_scores_gemma":[0.4629547,0.03194203,0.3814242,0.006281573,0.01464318,0.0002199124,0.0005835578,0.0008074734,0.1011434],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003600043,"threshold_uncertainty_score":0.0118131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177344102691221,"score_gpt":0.2690647992918742,"score_spread":0.2513303890227521,"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."}}