{"id":"W2166727092","doi":"10.1109/crv.2013.54","title":"Robust Solvers for Square Jigsaw Puzzles","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Jigsaw; Robustness (evolution); Computer science; Solver; Pairwise comparison; Artificial intelligence; Algorithm; Theoretical computer science; Mathematics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005950139,0.00006021516,0.00005921515,0.00004368084,0.0001304909,0.0002845958,0.0002455161,0.00003270855,0.00007158163],"category_scores_gemma":[0.00001599608,0.00004724711,0.00003936755,0.00009422195,0.00002733331,0.0007606576,0.00003806355,0.00003509204,0.0001239684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078451,"about_ca_system_score_gemma":0.00004343449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003559465,"about_ca_topic_score_gemma":0.000006061921,"domain_scores_codex":[0.9994987,0.000006594275,0.00008736157,0.0001805374,0.00006772828,0.0001591365],"domain_scores_gemma":[0.9996333,0.00002928838,0.00003085081,0.0001589093,0.0001065005,0.00004118434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001259689,0.00002614736,0.0003765613,0.0000522354,0.00000997362,4.335357e-7,0.0002706634,0.0001920956,0.0008539743,0.02086357,0.05390236,0.9234507],"study_design_scores_gemma":[0.0008514942,0.0001072138,0.0009516371,0.00005015564,0.000008656742,0.00007087376,0.0005074472,0.9163824,0.02415609,0.03814733,0.01825974,0.0005069282],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002685732,0.00003593695,0.9873543,0.001642919,0.0004332498,0.000129179,3.995824e-7,0.0002159406,0.007502337],"genre_scores_gemma":[0.2610522,0.000003187198,0.7323933,0.0003646302,0.0001028057,0.00005817193,0.000002044095,0.000006509372,0.006017147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9229438,"threshold_uncertainty_score":0.2744364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505434363531446,"score_gpt":0.2142241166361954,"score_spread":0.189169773000881,"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."}}