{"id":"W4387721582","doi":"10.53829/ntr201710fa10","title":"Synthetic Reality","year":2017,"lang":"en","type":"article","venue":"NTT technical review","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Computer science","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":[0.0008954199,0.0001018491,0.0002510346,0.00001481078,0.0003386112,0.0001197217,0.003015717,0.00006321146,0.00003683674],"category_scores_gemma":[0.0009392857,0.00008206989,0.0001207456,0.0001146245,0.0001459185,0.0002265475,0.0007659403,0.0001893044,0.0004570515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000477391,"about_ca_system_score_gemma":0.00004588423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002682526,"about_ca_topic_score_gemma":0.00001041106,"domain_scores_codex":[0.9987927,0.0000598507,0.000300308,0.0003951872,0.0002570513,0.0001949192],"domain_scores_gemma":[0.9954613,0.00007754498,0.0002191922,0.004067997,0.00005678285,0.0001171932],"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":[2.492903e-7,0.00007059502,0.00001333941,0.0003485878,0.0000049853,0.000004277201,0.000001666248,2.673362e-7,0.0001558154,0.5360674,0.02713858,0.4361942],"study_design_scores_gemma":[0.00007877336,0.00002309791,0.004179541,0.002002986,0.00003494427,0.00005044712,1.862273e-7,0.0005081161,0.0001873838,0.02746214,0.9652528,0.0002195783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000005192845,0.01190674,0.8356891,0.08000825,0.00007120855,0.0006903097,0.000004462244,0.0005104239,0.07111433],"genre_scores_gemma":[0.6856754,0.2094473,0.08690856,0.01465403,0.0002046712,0.001426245,0.00001471165,0.00005093756,0.001618089],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9381142,"threshold_uncertainty_score":0.5874625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07147574613716295,"score_gpt":0.3844034057767062,"score_spread":0.3129276596395432,"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."}}