{"id":"W2908029527","doi":"10.1002/j.2637-496x.2017.tb00982.x","title":"Q&amp;A with IRYStec","year":2017,"lang":"en","type":"article","venue":"Information Display","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Visual arts; Perception; Computer graphics (images); Computer science; Telecommunications; Art; Multimedia; Art history; Advertising; Operating system; Psychology; Business; 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":[0.000111517,0.00005603097,0.00005227161,0.00003938156,0.0003762,0.0008701161,0.0007131927,0.00002464012,0.000009591397],"category_scores_gemma":[0.00005542594,0.00004022272,0.00001518077,0.00005538792,0.00003520455,0.005016224,0.0001022451,0.00004554403,0.0007470669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001707756,"about_ca_system_score_gemma":0.00004109329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006942674,"about_ca_topic_score_gemma":0.00002583922,"domain_scores_codex":[0.9995332,0.000004642783,0.0001223847,0.00005870499,0.000168172,0.0001128867],"domain_scores_gemma":[0.9987977,0.00001215617,0.0001602684,0.0008908964,0.00006896407,0.00007004073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009572013,0.00002916088,0.001369559,0.00002204884,0.00001408329,5.729365e-7,0.002613225,0.0002134064,0.00006410459,0.7625399,0.008001301,0.225123],"study_design_scores_gemma":[0.0005972019,0.00007082868,0.1778946,0.00003204226,0.000004134287,0.00003307047,0.00005866004,0.01417371,0.0003821343,0.001878844,0.8046336,0.0002411689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03684397,0.00000243865,0.8921777,0.002094701,0.00006392223,0.0001220813,0.000006739533,0.00008063951,0.06860778],"genre_scores_gemma":[0.991834,0.000003011253,0.007433495,0.0004418604,0.0000145945,0.0000180093,0.00001046066,0.000001489753,0.0002430254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9549901,"threshold_uncertainty_score":0.9602283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349895139393854,"score_gpt":0.2835935291182944,"score_spread":0.2600945777243558,"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."}}