{"id":"W7132123277","doi":"","title":"NRC's 3D Imaging Technology for Museum & Heritage Applications","year":2004,"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":"","funders":"","keywords":"Photography; Line drawings; Digital imaging; Cultural heritage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002476935,0.0005189622,0.0007569474,0.002741621,0.002857437,0.00277569,0.001450837,0.00217908,0.1927397],"category_scores_gemma":[0.003612979,0.0005896357,0.0005995792,0.002388508,0.0007908021,0.001770066,0.001196614,0.001774402,0.06980069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482678,"about_ca_system_score_gemma":0.007864781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06484801,"about_ca_topic_score_gemma":0.1237044,"domain_scores_codex":[0.9972516,0.0001529995,0.00006125476,0.0002044442,0.002140969,0.0001888583],"domain_scores_gemma":[0.9907954,0.0004838966,0.0001194715,0.001160112,0.006789042,0.0006519677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001770877,0.00008905602,0.0009388675,0.0001661634,0.000006634964,0.0001119088,0.00009699538,0.0002711682,0.008921733,0.00670654,0.8849152,0.09759873],"study_design_scores_gemma":[0.00002376919,0.00005054851,0.002054311,0.00004573581,0.00000829353,0.000136756,0.00004626007,0.0005778625,0.006061035,0.0004873242,0.9904881,0.00002014372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007295986,0.0009531903,0.01605833,0.009443535,0.005957423,0.0005518505,0.02829027,0.006446051,0.9250034],"genre_scores_gemma":[0.02173175,0.0009868903,0.01946308,0.001248257,0.0002879506,0.00019658,0.01533783,0.001501311,0.9392463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.935152,"threshold_uncertainty_score":0.6447787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142130541815822,"score_gpt":0.2199962049971416,"score_spread":0.2085748995789834,"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."}}