{"id":"W6888491462","doi":"10.20380/gi2021.20","title":"Generating Rough Stereoscopic 3D Line Drawings from 3D Images","year":2021,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stylized fact; Stereoscopy; Shading; Line drawings; Line (geometry); Monocular; Object (grammar)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002357684,0.0002992238,0.0003463982,0.00005221837,0.001281139,0.0008102878,0.003262963,0.0001168102,0.00003248341],"category_scores_gemma":[0.00001261456,0.0003441631,0.0001916491,0.0007363937,0.0001254168,0.0004954289,0.002955253,0.000442881,0.000002762045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506367,"about_ca_system_score_gemma":0.0009137901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04934974,"about_ca_topic_score_gemma":0.05087014,"domain_scores_codex":[0.9976543,0.0002596577,0.0006196017,0.0006656403,0.0004229616,0.0003778854],"domain_scores_gemma":[0.9951011,0.0002670708,0.0002473958,0.003663548,0.0005643624,0.0001565063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001779747,0.001019006,0.003929868,0.0001862306,0.001025192,0.00009396338,0.01439017,0.001696363,0.00677495,0.3928533,0.4051022,0.172927],"study_design_scores_gemma":[0.0003904455,0.00003243666,0.00109381,0.0001082522,0.00002463537,0.00001113582,0.00004773159,0.8869365,0.002897555,0.002380385,0.1055046,0.0005724573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004704935,0.001706256,0.989316,0.00282067,0.0004154494,0.0001737539,0.00004521686,0.0004542659,0.0003634041],"genre_scores_gemma":[0.09926791,0.0003293576,0.8916888,0.007585813,0.0003105293,0.00004323287,0.0004237449,0.00003324821,0.0003173372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8852402,"threshold_uncertainty_score":0.9999011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316838902983183,"score_gpt":0.2978362490607033,"score_spread":0.2646678600308714,"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."}}