{"id":"W7100292138","doi":"","title":"Demonstration of Canadian 3D Technology for Heritage Recording Applications in China","year":2001,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Work (physics); Industrial heritage; 3d scanning; Cultural heritage; National heritage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110765,0.0003976496,0.0001994045,0.0007006831,0.001339478,0.0006624429,0.0005990863,0.0004109534,0.002445298],"category_scores_gemma":[0.0005098058,0.0002200522,0.0003219417,0.001048716,0.0004517669,0.0004225067,0.0009666699,0.0004927099,0.0004312542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799995,"about_ca_system_score_gemma":0.005191321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1902626,"about_ca_topic_score_gemma":0.3253371,"domain_scores_codex":[0.9991804,0.00006281757,0.00001726823,0.00006801961,0.0005698543,0.0001016966],"domain_scores_gemma":[0.9995514,0.00002856076,0.00001948024,0.0000541649,0.0002643877,0.00008206463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004283831,0.0002133406,0.01560427,0.0002539607,0.00004877534,0.002704142,0.002687712,0.008851582,0.6682268,0.01095911,0.01101399,0.2790081],"study_design_scores_gemma":[0.0002270325,0.001280683,0.06612555,0.00006584347,0.0000799996,0.001898368,0.001507735,0.03685649,0.7612882,0.001217197,0.1292363,0.0002165775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144256,0.0006606444,0.08345199,0.002010865,0.0001821175,0.000466496,0.001078944,0.002513788,0.09520956],"genre_scores_gemma":[0.8706973,0.0005858925,0.1098961,0.0001402551,0.00001767743,0.0001450172,0.0005771646,0.00009274304,0.01784789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8097374,"threshold_uncertainty_score":0.3783103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186188927187013,"score_gpt":0.2182428491037151,"score_spread":0.1996239563850138,"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."}}