{"id":"W2766233128","doi":"10.1145/3139131.3141198","title":"ProjectDR","year":2017,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Volume rendering; Visualization; Computer vision; Artificial intelligence; Coordinate system; Context (archaeology); Perspective (graphical); Rendering (computer graphics); Surgical planning; Projector; Computer graphics (images); Radiology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00005957679,0.00002307665,0.00002370099,0.00001032622,0.0002807979,0.0002028316,0.001111944,0.00001139681,0.00001333046],"category_scores_gemma":[0.00001560689,0.00001846991,0.00001172134,0.00002002569,0.00002534171,0.000265026,0.0002545023,0.00002371448,0.0002707996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006535736,"about_ca_system_score_gemma":0.00001795174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006970867,"about_ca_topic_score_gemma":0.00001893279,"domain_scores_codex":[0.9997249,0.00000367842,0.00003740967,0.0001074864,0.00006083891,0.00006565739],"domain_scores_gemma":[0.9988466,0.000006293001,0.00003248968,0.001075179,0.00001597974,0.00002347547],"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":[6.973914e-8,0.00001329013,0.0002030146,6.917676e-7,0.000001921029,5.456844e-7,0.00004045431,0.000001429281,0.000182525,0.9573656,0.005124246,0.03706618],"study_design_scores_gemma":[0.0006201435,0.00005596977,0.1137145,0.00001219855,0.000006196226,0.00003163965,0.00003718537,0.2298523,0.02741675,0.1474648,0.4802997,0.0004885084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002565972,0.000001512945,0.7457858,0.006662478,0.00003494345,0.0000553008,1.611397e-7,0.0000949956,0.2471082],"genre_scores_gemma":[0.940052,0.000002297117,0.05265303,0.0003092522,0.0000267264,0.00002757772,3.048606e-7,0.000001772477,0.006927098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9397954,"threshold_uncertainty_score":0.3480671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733043187127379,"score_gpt":0.3190688147504833,"score_spread":0.2817383828792095,"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."}}