{"id":"W2748426913","doi":"10.5194/isprs-archives-xlii-2-w5-553-2017","title":"APPLYING BIM TO BUILT HERITAGE WITH COMPLEX SHAPES: THE ICE HOUSE OF FILARETE’S OSPEDALE MAGGIORE IN MILAN, ITALY","year":2017,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Università degli Studi di Milano","keywords":"The Renaissance; Brick; Plan (archaeology); Photogrammetry; Archaeology; Section (typography); Architectural engineering; Engineering; Visual arts; Art; Geography; Art history; Computer science; Remote sensing","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":[0.000676831,0.001047436,0.0006503714,0.004172185,0.0009119014,0.003195328,0.001177138,0.001085315,0.003407456],"category_scores_gemma":[0.001577056,0.0005915666,0.001038368,0.004502954,0.001073969,0.001476556,0.002702158,0.0007433677,0.001568047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141123,"about_ca_system_score_gemma":0.001779377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06809655,"about_ca_topic_score_gemma":0.1722166,"domain_scores_codex":[0.9992247,0.0001814174,0.00002887374,0.0001744506,0.0002562089,0.00013445],"domain_scores_gemma":[0.9996057,0.0000955059,0.00004113216,0.0001003959,0.00009992128,0.00005728292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005041037,0.0007297803,0.1183651,0.001237802,0.0003727879,0.007443334,0.006412951,0.4627683,0.004952842,0.0156226,0.0477527,0.3338378],"study_design_scores_gemma":[0.00007029324,0.0001308073,0.1266466,0.0008364757,0.000152838,0.00183606,0.01313713,0.7334199,0.004335823,0.01194889,0.1072326,0.0002525907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6799029,0.002353536,0.1954305,0.002478956,0.000378051,0.0009750532,0.03481644,0.004820538,0.07884406],"genre_scores_gemma":[0.8631068,0.001134185,0.1126591,0.0001921076,0.00006877336,0.0003366506,0.01607816,0.0004580152,0.005966194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06809655,"threshold_uncertainty_score":0.1354004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159682195451831,"score_gpt":0.2591608681400826,"score_spread":0.2275640461855643,"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."}}