{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124261,0.001253046,0.001075131,0.0007971666,0.0005728539,0.001130088,0.001583172,0.001589061,0.004658616],"category_scores_gemma":[0.008642768,0.0007054806,0.0009261907,0.0007807543,0.001087843,0.001806757,0.002604477,0.001367337,0.0008714288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498919,"about_ca_system_score_gemma":0.0008151772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328943,"about_ca_topic_score_gemma":0.001638277,"domain_scores_codex":[0.9988613,0.0002244283,0.00009630922,0.0002443668,0.0005043717,0.00006914291],"domain_scores_gemma":[0.9974715,0.001498809,0.0002778978,0.0003518721,0.0003123503,0.00008767097],"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":[0.0002298386,0.00008782372,0.00127078,0.0003415169,0.0001134431,0.0003254162,0.000312355,0.7009,0.0206996,0.0641926,0.004802282,0.2067244],"study_design_scores_gemma":[0.00003085536,0.00003070709,0.00009076614,0.000008387666,0.000007379358,0.00007700879,0.00003608238,0.979278,0.004462352,0.01402505,0.001943818,0.000009550628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01868754,0.0001212356,0.977461,0.000112215,0.00002603147,0.00005626483,0.00006200688,0.001122361,0.002351498],"genre_scores_gemma":[0.1473051,0.00008519755,0.8496365,0.00006705318,0.00002664834,0.0001101246,0.0002195654,0.0004917159,0.002058103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004658616,"threshold_uncertainty_score":0.01558459,"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."}}