{"id":"W4200288350","doi":"10.1016/j.autcon.2021.104082","title":"Ortho-photogrammetry for prefabricated energy-efficiency retrofits","year":2021,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University; University of Alberta","funders":"","keywords":"Photogrammetry; Tripod (photography); Laser scanning; Process (computing); Computer science; Engineering drawing; Engineering; Computer graphics (images); Computer vision; Laser; Mechanical engineering; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004393702,0.0008140931,0.0004624166,0.001420024,0.0004589116,0.0009184959,0.0005418223,0.0004617092,0.0075729],"category_scores_gemma":[0.0009742875,0.0003868872,0.0003993949,0.002026173,0.0004311064,0.0007618237,0.0007037105,0.0005907473,0.002703392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557064,"about_ca_system_score_gemma":0.0005942989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496906,"about_ca_topic_score_gemma":0.003030189,"domain_scores_codex":[0.999202,0.0001422014,0.00002775498,0.000116955,0.0004587661,0.00005245131],"domain_scores_gemma":[0.9994097,0.0001152028,0.0000560279,0.0002082287,0.0001959847,0.00001487457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002268174,0.0001037073,0.004506993,0.0002920971,0.00002444039,0.0001450234,0.0003901816,0.03243426,0.1137147,0.006520179,0.004510547,0.837131],"study_design_scores_gemma":[0.0000768922,0.0006543414,0.07552563,0.0002986,0.0001112686,0.002337448,0.001468986,0.4012328,0.3583742,0.01702269,0.1426685,0.0002285896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0824837,0.0006679482,0.8900594,0.0001527664,0.0001652451,0.0001090809,0.000937629,0.00311039,0.02231384],"genre_scores_gemma":[0.6376807,0.0007338795,0.3489013,0.00007240292,0.00004747561,0.00009914177,0.001182806,0.0006815503,0.01060077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0075729,"threshold_uncertainty_score":0.02533382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776971417805671,"score_gpt":0.2279155575732209,"score_spread":0.2101458433951642,"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."}}