{"id":"W7018541177","doi":"","title":"Demonstration of Canadian 3D Technology for Heritage Recording Applications in China","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"China; Work (physics); Industrial heritage; 3d scanning; Cultural heritage; Technology assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001119383,0.0003815812,0.0001974057,0.000713285,0.001253834,0.0006452076,0.0006154566,0.0003936043,0.002505816],"category_scores_gemma":[0.0005105418,0.00021782,0.0003126811,0.001066897,0.0004397119,0.0004153916,0.0009509809,0.0005013274,0.000451393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017447,"about_ca_system_score_gemma":0.005005596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1730101,"about_ca_topic_score_gemma":0.3043985,"domain_scores_codex":[0.999151,0.00006362216,0.00001739794,0.00007098038,0.0005971942,0.00009976283],"domain_scores_gemma":[0.9995545,0.00002946376,0.00001931595,0.00005743346,0.0002626968,0.00007659414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004121677,0.0002154713,0.01571377,0.0002626687,0.00004841186,0.002623496,0.002536162,0.009017671,0.6475469,0.01089159,0.01086821,0.2998635],"study_design_scores_gemma":[0.0002267882,0.001302393,0.07047295,0.00006385261,0.00007848876,0.002002711,0.001494226,0.03959698,0.7511032,0.00125151,0.1322033,0.0002035908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8029149,0.0006481922,0.08700996,0.001888741,0.0001662813,0.000484263,0.001094711,0.002729923,0.103063],"genre_scores_gemma":[0.8623508,0.0005545812,0.1183147,0.0001341739,0.0000163421,0.0001439221,0.0006081361,0.00009290238,0.01778442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730101,"threshold_uncertainty_score":0.3440061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792994628656206,"score_gpt":0.2185724766029591,"score_spread":0.200642530316397,"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."}}