{"id":"W2170591961","doi":"10.5566/ias.v32.p183-188","title":"COLLAGE-BASED INVERSE PROBLEMS FOR IFSM WITH ENTROPY MAXIMIZATION AND SPARSITY CONSTRAINTS","year":2013,"lang":"en","type":"article","venue":"Image Analysis & Stereology","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Maximization; Minification; Mathematical optimization; Mathematics; Inverse; Computation; Entropy (arrow of time); Invariant (physics); Inverse problem; Principle of maximum entropy; Entropy maximization; Algorithm; Applied mathematics; Computer science; Mathematical analysis","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":[0.002918417,0.001416409,0.001702754,0.001146417,0.0006018709,0.00144317,0.001074901,0.002532278,0.001733586],"category_scores_gemma":[0.00689763,0.0006788759,0.001316461,0.0007203138,0.002714186,0.00158148,0.002565109,0.001610004,0.0002536168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481591,"about_ca_system_score_gemma":0.001391939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003517828,"about_ca_topic_score_gemma":0.002031762,"domain_scores_codex":[0.9992028,0.0003358127,0.00003625245,0.000160265,0.0001848176,0.0000800417],"domain_scores_gemma":[0.9969867,0.00232975,0.0003021497,0.0001008814,0.0001856655,0.00009487689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004438208,0.00002742362,0.0004579496,0.0001583309,0.00003811029,0.000128118,0.0001159238,0.9287554,0.001845838,0.05651121,0.000322939,0.01159436],"study_design_scores_gemma":[0.000006549868,0.00002599283,0.00007482192,0.00001699522,0.000005988148,0.00003742857,0.00002034535,0.9759635,0.000557372,0.02293712,0.0003428174,0.00001121116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01478521,0.0001838985,0.982702,0.0002224102,0.00001425907,0.00003296433,0.00003211465,0.00003228086,0.001995029],"genre_scores_gemma":[0.5006644,0.0005063853,0.4920025,0.0001905646,0.00009202024,0.0003696044,0.0002059174,0.0001896969,0.005778924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003517828,"threshold_uncertainty_score":0.01543427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193739767429844,"score_gpt":0.2635797967304151,"score_spread":0.2416423990561166,"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."}}