{"id":"W2087048327","doi":"10.1145/2487276.2487284","title":"Generating knitting patterns from a sketch","year":2013,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pixel; Computer science; Sketch; Constraint (computer-aided design); Dither; Artificial intelligence; Computer vision; Thresholding; Image (mathematics); Generator (circuit theory); Gestalt psychology; Computer graphics (images); Algorithm; Mathematics","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":[0.0000876721,0.00008412731,0.00008002626,0.00007121886,0.00009316234,0.0005119096,0.000499492,0.00003217676,0.0002456415],"category_scores_gemma":[0.00000886287,0.00007311917,0.00003808226,0.0001597418,0.00000598674,0.0004504113,0.000310372,0.00005859316,0.00006732364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007290915,"about_ca_system_score_gemma":0.00001158804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042246,"about_ca_topic_score_gemma":0.00001402659,"domain_scores_codex":[0.9992468,0.00003350723,0.0001804004,0.0002565857,0.0001335513,0.0001491987],"domain_scores_gemma":[0.9994061,0.00005559539,0.00005165375,0.0003401113,0.00008923159,0.0000572816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[1.407477e-7,0.00006242809,0.02500829,0.00000751206,0.00002023486,0.000003756802,0.0009802132,0.00001483432,0.003325967,0.5914236,0.005900396,0.3732526],"study_design_scores_gemma":[0.00005998778,0.00001886513,0.005374043,0.00001340541,7.537892e-7,0.000001134729,0.00001124347,0.9701578,0.006282927,0.01722398,0.0007204769,0.0001353695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1742366,0.00001542497,0.8242429,0.0002068822,0.00008563702,0.00008515112,5.200972e-7,0.0005029487,0.0006238962],"genre_scores_gemma":[0.7864443,0.000005769175,0.2120946,0.001215325,0.00009446369,0.00002334115,0.000003649804,0.000005761848,0.0001127439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.970143,"threshold_uncertainty_score":0.4936356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772461380633471,"score_gpt":0.2622409246518779,"score_spread":0.2445163108455432,"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."}}