{"id":"W2939251308","doi":"10.52842/conf.caadria.2016.683","title":"Unmediated cultural heritage via Hyve-3D: Collecting individual and collective narratives with 3D sketching","year":2016,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Victoria University; Victoria University of Wellington","keywords":"Cultural heritage; Realm; Social media; Context (archaeology); Storytelling; Sociology; Cultural heritage management; Visual arts; Narrative; Media studies; World Wide Web; Computer science; Art; History; Archaeology; Literature","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00131778,0.0006498209,0.000332052,0.002200493,0.001008504,0.003895716,0.0007314811,0.0005842789,0.007791418],"category_scores_gemma":[0.004250706,0.0004541192,0.0005863304,0.001589078,0.002264553,0.003030176,0.006304251,0.0007275267,0.001125674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840745,"about_ca_system_score_gemma":0.0008936989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553939,"about_ca_topic_score_gemma":0.00565449,"domain_scores_codex":[0.9989948,0.0003537969,0.00004889127,0.0002056618,0.0003035241,0.0000932863],"domain_scores_gemma":[0.99777,0.001148177,0.0001245214,0.0006288257,0.0001841652,0.0001444014],"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":[0.0003237694,0.0002543386,0.02000463,0.001755644,0.0001512621,0.00171125,0.2490281,0.009524925,0.08965764,0.05985795,0.008428337,0.5593022],"study_design_scores_gemma":[0.00009574896,0.0003398233,0.05954669,0.001307674,0.0001611021,0.004474561,0.2365088,0.05279424,0.09766049,0.07161112,0.4749429,0.0005568941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4587303,0.001368497,0.4847001,0.0005614176,0.0001286436,0.0009582898,0.002746577,0.002064494,0.04874175],"genre_scores_gemma":[0.6249134,0.000820814,0.3618142,0.00008952425,0.00002753593,0.0004068689,0.001217753,0.0004534284,0.01025647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007791418,"threshold_uncertainty_score":0.02606493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121062670463131,"score_gpt":0.3124080495846711,"score_spread":0.1913453791215401,"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."}}