{"id":"W2884910046","doi":"10.1109/tvcg.2018.2860016","title":"Model-Guided 3D Sketching","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Guangdong Science and Technology Department; National Natural Science Foundation of China","keywords":"Computer science; Workflow; Human–computer interaction; Interface (matter); 3D modeling; Set (abstract data type); 3d model; User interface; Computer graphics (images); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003099073,0.0002936314,0.0002341741,0.0007471706,0.0006623178,0.0004609305,0.0005344325,0.0001529523,0.0000114681],"category_scores_gemma":[0.000002018692,0.0003004722,0.0001128884,0.001287453,0.0001582089,0.0006129884,0.00001904375,0.0001934117,0.00001024193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002272955,"about_ca_system_score_gemma":0.00005826583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394793,"about_ca_topic_score_gemma":0.00001643549,"domain_scores_codex":[0.9980879,0.0001196047,0.0004370574,0.0006570703,0.0003925496,0.0003058463],"domain_scores_gemma":[0.9986925,0.00006549234,0.0001293967,0.000568807,0.0003651078,0.0001787633],"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":[0.000004930302,0.0001432539,0.00002468113,0.00001454761,0.00002680147,0.00000144713,0.0009546393,0.0002372141,0.00001617595,0.9874669,0.0006046779,0.01050477],"study_design_scores_gemma":[0.0003447119,0.0003308294,0.00006198832,0.00004833002,0.00001300704,0.00002201611,0.000004123144,0.9843183,0.002935041,0.01037385,0.001201803,0.0003460076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004789739,0.00001805562,0.9929972,0.0000502704,0.0007117238,0.0002338924,0.000004834197,0.00102091,0.0001733924],"genre_scores_gemma":[0.9751648,0.0002330415,0.02079058,0.003535082,0.0001408743,0.00002665673,0.000004681312,0.00003355172,0.00007079218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9840811,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847285506193231,"score_gpt":0.3154578790244135,"score_spread":0.2769850239624812,"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."}}