{"id":"W3044654293","doi":"10.5194/isprs-archives-xliv-m-1-2020-443-2020","title":"DIGITAL MODELS FOR THE ANALYSIS AND ENHANCEMENT OF HYBRID SPACES: ARCHITECTURE OF THE MATTANZA","year":2020,"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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Brock University; Honor Frost Foundation","keywords":"Livelihood; Tourism; Exhibition; Geography; Fishing; Architecture; Mobilities; Archaeology; Sociology; Political science; Social science; Agriculture","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":[0.0006137213,0.0005400461,0.0002452827,0.001724977,0.0008667991,0.006604863,0.001057845,0.0007872434,0.009056231],"category_scores_gemma":[0.001337004,0.0004300897,0.0007795603,0.001451812,0.003499888,0.002678304,0.002508424,0.0007272263,0.0007804151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568831,"about_ca_system_score_gemma":0.0008320466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556303,"about_ca_topic_score_gemma":0.008111592,"domain_scores_codex":[0.9997348,0.00009439768,0.00001452068,0.00005595726,0.00007459556,0.00002569922],"domain_scores_gemma":[0.9996415,0.0001285743,0.00002989572,0.0001093983,0.00005210009,0.00003850808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001205877,0.00006900885,0.007014383,0.0004265794,0.00007193113,0.0008296109,0.01328294,0.124144,0.005197802,0.7468109,0.005490661,0.0965416],"study_design_scores_gemma":[0.00004357141,0.00008920956,0.009466953,0.0005485336,0.00008121166,0.0009369664,0.008545756,0.4400114,0.002563784,0.2005064,0.3370964,0.0001098043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1877266,0.003653281,0.6104251,0.003062427,0.0003290106,0.0002805835,0.001183218,0.002457294,0.1908826],"genre_scores_gemma":[0.8141236,0.001134717,0.1694009,0.0000928692,0.00004650429,0.0002358023,0.0006416205,0.0003011799,0.01402278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009056231,"threshold_uncertainty_score":0.03029615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123289368095883,"score_gpt":0.2337165351300385,"score_spread":0.2124836414490796,"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."}}