{"id":"W2548384983","doi":"","title":"VRML AS AN EFFECTIVE CONSTRUCTION COMMUNICATION TECHNIQUE","year":2008,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"VRML; Computer science; Software; Virtual reality; Order (exchange); Multimedia; Software engineering; Human–computer interaction; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003220198,0.0009398207,0.0004708093,0.001791697,0.0005311994,0.002730702,0.001781925,0.001270006,0.007722296],"category_scores_gemma":[0.008070407,0.0006300341,0.0006431401,0.001684575,0.00140374,0.002830962,0.001852226,0.001160678,0.001834483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006770974,"about_ca_system_score_gemma":0.001032469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796265,"about_ca_topic_score_gemma":0.001229109,"domain_scores_codex":[0.9938219,0.003121387,0.0002808025,0.0003224469,0.00229394,0.0001595272],"domain_scores_gemma":[0.9953007,0.00294001,0.0002879476,0.0007915791,0.0006168347,0.00006296545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002878911,0.0001389985,0.0005804066,0.001132284,0.00006124746,0.0006610092,0.004714541,0.06114794,0.04907732,0.2116031,0.01288519,0.6577102],"study_design_scores_gemma":[0.0002186205,0.0005732981,0.001291558,0.0005933508,0.000197808,0.002551042,0.001272586,0.3033262,0.08492844,0.05289871,0.5518987,0.0002497372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002638562,0.0001990806,0.987694,0.0001681913,0.00004605054,0.0001020393,0.00007141635,0.001851166,0.007229397],"genre_scores_gemma":[0.1000323,0.0006970915,0.8921027,0.00008702494,0.00004218481,0.0003971536,0.0003054737,0.000537245,0.005798739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007722296,"threshold_uncertainty_score":0.02583361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00553185541560938,"score_gpt":0.2101034687974611,"score_spread":0.2045716133818517,"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."}}