{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003219958,0.000129313,0.0002153767,0.0002428209,0.00006060815,0.0003485317,0.0005583247,0.00003132404,0.00000507086],"category_scores_gemma":[0.0000490874,0.0001008456,0.0000568811,0.00008811487,0.0001280173,0.0007361514,0.0002746834,0.0001958087,0.000001075476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000120092,"about_ca_system_score_gemma":0.00001656915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007410297,"about_ca_topic_score_gemma":0.000001080956,"domain_scores_codex":[0.9990048,0.00007082509,0.0003426309,0.0001791142,0.0002881131,0.0001145163],"domain_scores_gemma":[0.9987034,0.000207391,0.0003074415,0.00009327412,0.0005871302,0.0001013961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008733586,0.0001040327,0.005177855,0.00001017955,0.0002437518,0.00005428804,0.002381855,0.0001000805,0.001041679,0.2241001,0.0006654921,0.7660334],"study_design_scores_gemma":[0.002600489,0.002090962,0.01561771,0.000650316,0.00003181458,0.001516598,0.0002025658,0.85832,0.007939774,0.07727355,0.03327343,0.0004827755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08807734,0.0003868229,0.9092418,0.00143871,0.0005469176,0.00003130321,9.482866e-7,0.00001750067,0.000258676],"genre_scores_gemma":[0.9206979,0.0003578076,0.07769999,0.0009797404,0.0002147598,5.117611e-7,3.323484e-7,0.000005854283,0.0000431501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8582199,"threshold_uncertainty_score":0.4112363,"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."}}