{"id":"W1879453025","doi":"10.1007/11427865_18","title":"VRML-Based 3D Collaborative GIS: A Design Perspective","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"VRML; Computer science; Visualization; Focus (optics); The Internet; Human–computer interaction; Perspective (graphical); Software; Information visualization; Geographic information system; World Wide Web; Software engineering; Data mining; Artificial intelligence","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":[0.00248539,0.001515748,0.0009791963,0.00143284,0.0006499741,0.007512334,0.006017019,0.003539018,0.009185471],"category_scores_gemma":[0.004826464,0.001776995,0.0009795825,0.002141163,0.003460615,0.005622456,0.002374019,0.001831346,0.002546195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416045,"about_ca_system_score_gemma":0.001232683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005362169,"about_ca_topic_score_gemma":0.004190766,"domain_scores_codex":[0.9976357,0.0008893842,0.00009771199,0.0002485123,0.0009954207,0.0001332242],"domain_scores_gemma":[0.9977939,0.001137399,0.0001336574,0.0004164081,0.0004134265,0.0001051565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008164836,0.00008783121,0.0003486267,0.0009229974,0.00007808376,0.0005198562,0.002351598,0.0907999,0.01508951,0.7135257,0.008458419,0.1677357],"study_design_scores_gemma":[0.00006314971,0.0002276632,0.0004146607,0.0003920189,0.0001600939,0.001792772,0.001107397,0.3936766,0.0357353,0.186564,0.3797216,0.0001446908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001838297,0.001152836,0.9800592,0.0006166344,0.00006172353,0.00003512557,0.00005570464,0.0007579588,0.0154224],"genre_scores_gemma":[0.1401937,0.004203602,0.8234841,0.0003817565,0.0001644203,0.0002038037,0.0004150216,0.0005966083,0.03035707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009185471,"threshold_uncertainty_score":0.03072846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542241547183581,"score_gpt":0.2386957322831925,"score_spread":0.2232733168113567,"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."}}