{"id":"W4286982875","doi":"10.48550/arxiv.2109.03845","title":"StripBrush: A Constraint-Relaxed 3D Brush Reduces Physical Effort and\\n Enhances the Quality of Spatial Drawing","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brush; Usability; Computer science; Human–computer interaction; Constraint (computer-aided design); Orientation (vector space); Interface (matter); Quality (philosophy); GRASP; Simulation; Engineering; Mechanical engineering; Mathematics; Software engineering","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":[0.0007605583,0.0006958363,0.0005681688,0.0003832185,0.0002379239,0.0009159274,0.001338369,0.0005278089,0.01217164],"category_scores_gemma":[0.003990684,0.000317804,0.00033756,0.0002946328,0.0005082602,0.001451298,0.001534859,0.0005425184,0.0009730045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714909,"about_ca_system_score_gemma":0.00042107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176195,"about_ca_topic_score_gemma":0.002870753,"domain_scores_codex":[0.9995235,0.00009508148,0.00003554145,0.00009625632,0.000206499,0.00004315981],"domain_scores_gemma":[0.9986452,0.0006647514,0.00009133806,0.0003164512,0.0001697946,0.000112485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001719881,0.0009501363,0.003299751,0.001221373,0.00009156252,0.0003286262,0.002233615,0.009188373,0.4193957,0.005954225,0.008394441,0.5472222],"study_design_scores_gemma":[0.002024264,0.0122546,0.05748041,0.0003759823,0.0005061494,0.002552556,0.001997738,0.4282335,0.3595934,0.008390523,0.1260323,0.0005586093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731382,0.0004903593,0.4089199,0.0002712219,0.0001451083,0.0004516157,0.0004262888,0.006375934,0.009781295],"genre_scores_gemma":[0.608023,0.0003687277,0.3809451,0.0002091701,0.00003229499,0.0004617337,0.0006799874,0.0009204994,0.008359458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01217164,"threshold_uncertainty_score":0.04071814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0608700446476975,"score_gpt":0.2402986627740451,"score_spread":0.1794286181263476,"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."}}