{"id":"W2948612064","doi":"","title":"4th Symposium on Applied Perception in Graphics and Visualization","year":2007,"lang":"en","type":"article","venue":"MPG.PuRe (Max Planck Society)","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graphics; Computer science; Computer graphics (images); Visualization; Perception; Scientific visualization; Data visualization; Computer graphics; Human–computer interaction; Artificial intelligence; Psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005957235,0.0001584014,0.0001549378,0.00005308961,0.0001859569,0.00006234556,0.0000872394,0.0001906238,0.0001882919],"category_scores_gemma":[0.000008690402,0.0001311684,0.0000553937,0.0003723931,0.00006181681,0.0001197651,0.000006304672,0.000216221,0.00006495201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001110992,"about_ca_system_score_gemma":0.00001237628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618146,"about_ca_topic_score_gemma":0.002691325,"domain_scores_codex":[0.9989072,0.00004199924,0.0001942427,0.0002949026,0.0002444169,0.0003172123],"domain_scores_gemma":[0.9996267,0.0000998971,0.0000535588,0.0001042859,0.00002009759,0.00009545016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001219121,0.00005366336,0.9745185,0.00008098759,0.00002024842,0.00001240724,0.005358791,0.0004954645,0.002603581,0.001207246,0.004172632,0.01135456],"study_design_scores_gemma":[0.0004307108,0.0001128692,0.9910393,0.00003136274,0.000007823634,0.000006043223,0.001714705,0.001631092,0.00006582498,0.0002952586,0.004415356,0.0002495938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817207,0.000120937,0.0002091815,0.0001131442,0.0002126172,0.0001741171,0.00002931794,0.00008355411,0.0173364],"genre_scores_gemma":[0.9979454,0.0002278407,0.00019432,0.0007314882,0.000151535,0.000001150754,0.0003904997,0.000005919959,0.0003518216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01698457,"threshold_uncertainty_score":0.534889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319776704105039,"score_gpt":0.224079875554888,"score_spread":0.2108821085138376,"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."}}