{"id":"W1480970423","doi":"","title":"From Laser Scanning to Virtual Reality: The Art and Science of Constructing a Thule Whalebone House","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Arctic; Archaeology; The arctic; Snow; Virtual reality; Geography; Physical geography; Geology; Computer science; Meteorology; Oceanography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001430028,0.0004675439,0.0001713624,0.001509957,0.002026509,0.004121698,0.0009949352,0.001337588,0.005117246],"category_scores_gemma":[0.002242283,0.0003496294,0.0004063344,0.0008077845,0.01223268,0.00368759,0.003382896,0.0014464,0.000800603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009863935,"about_ca_system_score_gemma":0.0007167079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003795595,"about_ca_topic_score_gemma":0.007274025,"domain_scores_codex":[0.9990162,0.0005550118,0.00002757962,0.0001234444,0.0002258446,0.00005190415],"domain_scores_gemma":[0.999245,0.0004230859,0.0000370419,0.0001639703,0.00008477666,0.00004610915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006748906,0.00004450595,0.002226768,0.0005906101,0.0000385648,0.002027343,0.1008329,0.004092453,0.007486998,0.565067,0.01528672,0.3022386],"study_design_scores_gemma":[0.00001903741,0.0002505372,0.004240864,0.001141808,0.00004694942,0.005436932,0.06150968,0.007172327,0.006187079,0.1356025,0.7782125,0.000179716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1434449,0.02245237,0.3585316,0.01671855,0.002304249,0.000243975,0.0001776829,0.0007398689,0.4553869],"genre_scores_gemma":[0.7412589,0.01051852,0.176352,0.001934875,0.0004689539,0.0001984995,0.00008617856,0.0003133664,0.06886859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005117246,"threshold_uncertainty_score":0.01711887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143097994750207,"score_gpt":0.2666736860321986,"score_spread":0.2452427060846965,"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."}}