{"id":"W2441904005","doi":"10.1007/s00371-016-1271-7","title":"CGI 2016 Editorial (TVCJ)","year":2016,"lang":"pl","type":"article","venue":"The Visual Computer","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science; Computer graphics; Computer graphics (images)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003244506,0.002917058,0.002424729,0.005875685,0.002711306,0.007459143,0.002937928,0.01184563,0.07372233],"category_scores_gemma":[0.01383473,0.0009739551,0.002454804,0.00228031,0.001487423,0.002575897,0.002797875,0.009879519,0.03698305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370738,"about_ca_system_score_gemma":0.002396665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759865,"about_ca_topic_score_gemma":0.008968647,"domain_scores_codex":[0.997248,0.00027536,0.0003231573,0.0003702004,0.001464935,0.0003183624],"domain_scores_gemma":[0.9911897,0.001726597,0.0008025072,0.0004150148,0.004122051,0.001744075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004049078,0.000008248213,0.00002092311,0.0001816087,0.000007955471,0.00007894679,0.000005241953,0.00001613579,0.00007612714,0.0001237081,0.9925407,0.006900042],"study_design_scores_gemma":[0.00003882532,0.00001829872,0.0002940043,0.0002889186,0.00002403368,0.0001301089,0.00001527008,0.00006329249,0.0000951818,0.0003705065,0.9986514,0.00001012232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004497182,0.00346573,0.0000758918,0.01457814,0.9773815,0.00002433001,0.00009912572,0.0000707965,0.004259605],"genre_scores_gemma":[0.0007073889,0.003092162,0.0001556612,0.01227148,0.9450266,0.00004083904,0.0001333595,0.0000776153,0.03849486],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07372233,"threshold_uncertainty_score":0.2466258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673598437966514,"score_gpt":0.2896503585345176,"score_spread":0.2729143741548525,"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."}}