{"id":"W1580645447","doi":"10.1007/978-3-642-15384-6_44","title":"Improving Communication Using 3D Animation","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Animation; XML; Lift (data mining); Process (computing); Set (abstract data type); Pipeline (software); Multimedia; Database; Computer graphics (images); World Wide Web; Programming language; Data mining","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":[0.0006963458,0.0003003999,0.0002580021,0.0006737295,0.0004176459,0.0006474283,0.0016342,0.000324223,0.00004727819],"category_scores_gemma":[0.00009319324,0.000310553,0.00006591027,0.0004170045,0.0004419012,0.001086184,0.0007617575,0.0008453059,0.00001976339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770184,"about_ca_system_score_gemma":0.0004767654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000518033,"about_ca_topic_score_gemma":0.0002025844,"domain_scores_codex":[0.9978725,0.0000327532,0.0004224902,0.0007912091,0.0005609204,0.0003201256],"domain_scores_gemma":[0.9977732,0.0002019443,0.0003946511,0.001252721,0.0002810587,0.00009641604],"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":[0.000001282689,0.000008268048,0.00003611363,0.00001464031,0.000002917021,0.000004269058,0.0003616334,0.03810133,0.00230351,0.01308231,8.727608e-7,0.9460828],"study_design_scores_gemma":[0.0001325446,0.00002550368,0.0001082179,0.0001184288,0.000005312301,0.00005584251,1.030532e-7,0.9751242,0.001216009,0.02258822,0.0002820797,0.0003435321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009231908,0.00009587438,0.9958019,0.0003763607,0.001022367,0.0002823433,0.000001880472,0.0001703395,0.002156561],"genre_scores_gemma":[0.06645098,0.00002298754,0.9328541,0.000430285,0.0001364157,0.00000278911,0.000007393108,0.00001918021,0.00007584722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9457393,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759901403166653,"score_gpt":0.2481093351883181,"score_spread":0.2305103211566516,"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."}}