{"id":"W4229519752","doi":"10.1145/383259.383268","title":"Scanning physical interaction behavior of 3D objects","year":2001,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Animation; Rendering (computer graphics); Computer animation; Process (computing); Computer graphics (images); Computer vision; Artificial intelligence; Construct (python library); Human–computer interaction; Contact force","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":[0.00006133876,0.00005644832,0.00008144901,0.0001238086,0.00003217547,0.00005023816,0.0002598619,0.00001839175,0.00001019092],"category_scores_gemma":[0.000004336445,0.00005100499,0.00003990681,0.0003771795,0.00001409336,0.0003110139,0.0001256695,0.00004598106,0.000003309376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000888683,"about_ca_system_score_gemma":0.00001254376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003857851,"about_ca_topic_score_gemma":0.00000381347,"domain_scores_codex":[0.9995098,0.00001721754,0.0001151963,0.0001478372,0.0001261604,0.00008379103],"domain_scores_gemma":[0.9995983,0.00002315569,0.00005662804,0.0002128685,0.00008052869,0.00002847815],"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":[0.000003771597,0.0004961946,0.01018242,0.00001021693,0.00001064654,0.00001171125,0.001614131,0.00001902821,0.005778928,0.7869931,0.0006712027,0.1942086],"study_design_scores_gemma":[0.0002403665,0.0003482716,0.01347442,0.00005337473,0.00001028191,0.00004354251,0.00004940856,0.8736789,0.103652,0.005654524,0.002519627,0.0002752536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.217901,0.00000472325,0.7787818,0.00002300859,0.0001020096,0.00005637884,1.063958e-7,0.0002002761,0.0029307],"genre_scores_gemma":[0.9837898,0.000007186268,0.01600602,0.00007020136,0.0000354619,0.000008490833,7.65756e-7,0.000003252284,0.00007883208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8736599,"threshold_uncertainty_score":0.2079923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280572836272062,"score_gpt":0.3371743447096806,"score_spread":0.3091170610824743,"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."}}