{"id":"W133799465","doi":"","title":"Cross-Stitching Using Little Thread.","year":2005,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Waterloo","funders":"","keywords":"Image stitching; Thread (computing); Computer science; Parallel computing; Artificial intelligence; Operating system","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":[0.0003906027,0.000514016,0.0005209441,0.0003695179,0.0004537652,0.0004697476,0.0007805013,0.0007842331,0.004017778],"category_scores_gemma":[0.00151499,0.0003656968,0.0005008125,0.0004666172,0.000710213,0.001294166,0.0009059428,0.0006009022,0.0005136127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956252,"about_ca_system_score_gemma":0.0003227739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005574992,"about_ca_topic_score_gemma":0.001014335,"domain_scores_codex":[0.9997314,0.0000386185,0.00001569767,0.0000723938,0.00008273422,0.00005922019],"domain_scores_gemma":[0.9994769,0.0002028393,0.00009185763,0.0001350978,0.00004719113,0.00004625137],"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":[0.0009552591,0.0002964836,0.003258645,0.0005318515,0.0001174635,0.0005688391,0.0002832322,0.4820198,0.1872551,0.04178486,0.002554247,0.2803743],"study_design_scores_gemma":[0.00007220934,0.0006777284,0.0008178326,0.00002604561,0.00004779729,0.0003428691,0.00006941352,0.9197912,0.04761032,0.0258642,0.004660346,0.00002005298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.264399,0.0007481725,0.7236467,0.0001916852,0.00009845,0.00008023287,0.00007313427,0.0007514189,0.01001114],"genre_scores_gemma":[0.7788535,0.0002861144,0.2152877,0.00007756416,0.00001998135,0.00007805219,0.0001258806,0.0001556864,0.00511557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004017778,"threshold_uncertainty_score":0.01344079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462733127791525,"score_gpt":0.3258819269291717,"score_spread":0.2912545956512565,"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."}}