{"id":"W4403048309","doi":"10.1007/978-981-96-0576-7_15","title":"Synthetic Data: Generate Avatar Data on Demand","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Avatar; Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008332037,0.001041117,0.0005150975,0.001169105,0.000269756,0.0006578724,0.001412529,0.0009596285,0.007690183],"category_scores_gemma":[0.005034776,0.0003869306,0.000590038,0.001124566,0.0002943377,0.000722109,0.001032727,0.0007851652,0.004312161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003174955,"about_ca_system_score_gemma":0.000357892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005160223,"about_ca_topic_score_gemma":0.00539225,"domain_scores_codex":[0.9995238,0.0001215812,0.00002454629,0.0001193826,0.0001647527,0.00004590454],"domain_scores_gemma":[0.9985245,0.0005847164,0.00003704238,0.0003528555,0.0004080276,0.00009288011],"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":[0.003615048,0.001596029,0.02386117,0.0006290321,0.0003194181,0.001046946,0.0006084993,0.3245827,0.02512006,0.006715911,0.2536114,0.3582938],"study_design_scores_gemma":[0.0001197371,0.0001378698,0.002043793,0.00002272877,0.00001849167,0.0001738281,0.000235313,0.9719669,0.0076775,0.005159347,0.01241728,0.00002723507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2813298,0.0004360647,0.526582,0.001574849,0.001732194,0.0009326751,0.1206333,0.05236106,0.01441804],"genre_scores_gemma":[0.5296084,0.0001739957,0.2699373,0.0002253485,0.0001591067,0.000543669,0.1907195,0.002180811,0.006451883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007690183,"threshold_uncertainty_score":0.02572626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05958938339946626,"score_gpt":0.322429213828239,"score_spread":0.2628398304287727,"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."}}