{"id":"W1976038972","doi":"10.4018/ijcicg.2014070102","title":"Continuous Line Drawings and Designs","year":2014,"lang":"en","type":"article","venue":"International Journal of Creative Interfaces and Computer Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Tracing; Boundary (topology); Tree (set theory); Process (computing); Artificial intelligence; Computer vision; Key (lock); Path (computing); Line (geometry); Stereoscopy; Scratch; Boundary line; Function (biology); Pixel; Tree traversal; Line segment; Tree structure; Algorithm; Geometry; Mathematics; Binary tree","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":[0.00118983,0.001245246,0.000512035,0.001927903,0.0008121445,0.004440461,0.001594854,0.001559483,0.03688543],"category_scores_gemma":[0.005245294,0.0006851553,0.0008177251,0.00245629,0.002634543,0.00380988,0.001496852,0.001578337,0.007751524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009325778,"about_ca_system_score_gemma":0.0006531588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007461779,"about_ca_topic_score_gemma":0.0009586457,"domain_scores_codex":[0.9981914,0.000451446,0.0001226202,0.0004215109,0.0007274518,0.00008564715],"domain_scores_gemma":[0.9980906,0.000664528,0.0001417676,0.0005594768,0.0004526234,0.00009100552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007099351,0.00002563502,0.0003229647,0.0005969316,0.00002141118,0.0002074196,0.0007448803,0.01500248,0.006045875,0.5512198,0.02071341,0.4050282],"study_design_scores_gemma":[0.00004161881,0.0001208676,0.0004776863,0.0003008554,0.00002779142,0.001001319,0.0004183769,0.04928831,0.008247075,0.3802921,0.5597045,0.00007963686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002959569,0.001999696,0.9515983,0.0003490643,0.0002838288,0.0001162815,0.000258315,0.001477811,0.0409571],"genre_scores_gemma":[0.07258328,0.003019427,0.8879172,0.0002043923,0.0002486238,0.0002577421,0.0006379247,0.000615621,0.03451588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03688543,"threshold_uncertainty_score":0.1233941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567608453619073,"score_gpt":0.2880377322359295,"score_spread":0.2723616476997388,"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."}}