{"id":"W1602142010","doi":"10.1007/3-540-45336-9_41","title":"On the Elaboration of Hand-Drawn Sketches","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Sketch; Set (abstract data type); Scale (ratio); Graphics; Computer graphics (images); Computer graphics; Markov chain; Artificial intelligence; Algorithm; Machine learning; 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":[0.0007312036,0.0009335264,0.0005792801,0.0009784778,0.0006440673,0.002224245,0.00137087,0.000863157,0.02912552],"category_scores_gemma":[0.006683959,0.0008822045,0.000948389,0.0009851941,0.001785271,0.00293534,0.002523162,0.001597006,0.005011461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715983,"about_ca_system_score_gemma":0.0003766645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014184,"about_ca_topic_score_gemma":0.001745686,"domain_scores_codex":[0.9993252,0.0001618348,0.00004478576,0.000114313,0.0003120701,0.0000418476],"domain_scores_gemma":[0.9982021,0.001078181,0.00005272278,0.0004445467,0.0001875399,0.00003492348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002084412,0.00003212927,0.0003881909,0.0007776645,0.00005091807,0.0005380623,0.001759612,0.04043363,0.02439408,0.3306106,0.01199648,0.5888102],"study_design_scores_gemma":[0.00007890556,0.0001395294,0.0008558818,0.0005509757,0.00009744493,0.001067714,0.0005988926,0.2189619,0.04286335,0.4173374,0.3173428,0.0001051164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00932951,0.001597151,0.9486919,0.0001868818,0.0002080521,0.0001010613,0.0001705498,0.002444172,0.03727063],"genre_scores_gemma":[0.1815016,0.003133703,0.756708,0.00007203911,0.0000852018,0.00008395217,0.0009049295,0.001629669,0.05588099],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02912552,"threshold_uncertainty_score":0.09743452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074617296667083,"score_gpt":0.2705439296468537,"score_spread":0.2497977566801829,"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."}}