{"id":"W4416416446","doi":"10.3897/jucs.129768","title":"Genetic-based square jigsaw puzzle solver using the combined color+texture compatibility criterion","year":2025,"lang":"en","type":"article","venue":"JUCS - Journal of Universal Computer Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jigsaw; Colored; Discriminator; Solver; Square (algebra); Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006041109,0.001306639,0.001114604,0.0008479333,0.0004808316,0.0008295201,0.001526038,0.001533032,0.004290434],"category_scores_gemma":[0.001984154,0.0004178432,0.0009862403,0.0006956009,0.0005033193,0.0007243127,0.0008400865,0.0009523814,0.0007850695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006569004,"about_ca_system_score_gemma":0.001770918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122974,"about_ca_topic_score_gemma":0.01187606,"domain_scores_codex":[0.9996176,0.00007435933,0.0000250927,0.0001124537,0.0001190972,0.00005139346],"domain_scores_gemma":[0.9993851,0.0002977458,0.00004741542,0.00006030716,0.0001672054,0.00004225597],"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":[0.0001555475,0.0001495384,0.002958836,0.0001793161,0.0001024094,0.0002509823,0.0001213584,0.6533362,0.01097623,0.009579334,0.006696506,0.3154938],"study_design_scores_gemma":[0.00002370345,0.00003325755,0.0001474656,0.000007440909,0.00001014713,0.00003792637,0.00001984471,0.9962895,0.001046863,0.001299173,0.001079096,0.000005630444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0574254,0.0003347098,0.9303683,0.0004049763,0.0001471959,0.0001859091,0.0002214304,0.002327087,0.008584934],"genre_scores_gemma":[0.2665524,0.0001338335,0.7246682,0.0004030707,0.00004307247,0.000267101,0.0006799211,0.0002895028,0.006962824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01122974,"threshold_uncertainty_score":0.02232873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728903805424013,"score_gpt":0.2709514366980822,"score_spread":0.253662398643842,"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."}}