{"id":"W2990083001","doi":"10.5194/isprs-archives-xlii-2-w17-31-2019","title":"LOW COST TECHNIQUES FOR THE DIGITAL SURVEY OF A MINOAN ARCHITECTURE IN THE ARCHEOLOGICAL SITE OF PHAISTOS (CRETE)","year":2019,"lang":"en","type":"article","venue":"The international 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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dipartimento Ingegneria Civile e Architettura, Università di Catania; Università di Catania","keywords":"Photogrammetry; Archaeology; Architecture; HERO; Quarter (Canadian coin); Pipeline (software); Action (physics); History; Visual arts; Art; Geography; Computer science; Remote sensing; Artificial intelligence","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":[0.0004058534,0.000487802,0.0001896442,0.001858156,0.0002506841,0.0005354735,0.0006276608,0.0004146034,0.005322374],"category_scores_gemma":[0.0006921847,0.0002642492,0.0003698963,0.001149609,0.0002405039,0.0005034548,0.0007323456,0.0003831681,0.0008495702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547403,"about_ca_system_score_gemma":0.0004016475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974936,"about_ca_topic_score_gemma":0.006225592,"domain_scores_codex":[0.9994478,0.00008765086,0.00001335753,0.0001290387,0.0002739765,0.00004817891],"domain_scores_gemma":[0.9996369,0.0000866023,0.00003048845,0.00009726342,0.000120065,0.00002864542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003707388,0.0001637213,0.01879738,0.0008796841,0.00009635349,0.000539432,0.001790011,0.007678828,0.3973047,0.002846268,0.002428017,0.5671049],"study_design_scores_gemma":[0.000220736,0.002143017,0.3957179,0.000428433,0.0003686187,0.009012614,0.005792904,0.1553839,0.321258,0.004626821,0.1048462,0.0002009023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.562229,0.001043418,0.4174767,0.0002113428,0.0001353644,0.0004354317,0.001553121,0.0009071967,0.01600843],"genre_scores_gemma":[0.5344139,0.0006126065,0.4562175,0.00004852949,0.00003458249,0.0001837036,0.0009677699,0.0001142253,0.007407264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005322374,"threshold_uncertainty_score":0.0178051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196583734198816,"score_gpt":0.248669082510911,"score_spread":0.2267032451689229,"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."}}