{"id":"W2971330799","doi":"10.5194/isprs-archives-xlii-2-w15-993-2019","title":"ANALYSIS AND ASSESSMENT OF VIEWS UNDER THE CONSIDERATIONS OFHISTORICAL URBAN LANDSCAPE (HUL). CASE STUDY CUENCA, ECUADOR","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":"Latin American Urban Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fragility; Quality (philosophy); Vulnerability (computing); Product (mathematics); Geography; Process (computing); Value (mathematics); Element (criminal law); Urban landscape; Environmental planning; Environmental resource management; Political science; Computer science; Law; Computer security; Epistemology","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":[0.000888413,0.0002977083,0.0001503264,0.002453173,0.002209898,0.001896654,0.0007669024,0.0005483833,0.004099561],"category_scores_gemma":[0.002364245,0.0001177958,0.0001864983,0.002549041,0.001421192,0.0008330219,0.001350663,0.0003262481,0.0001571856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004345575,"about_ca_system_score_gemma":0.0008614226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04875915,"about_ca_topic_score_gemma":0.08600919,"domain_scores_codex":[0.9993824,0.000289623,0.00002720062,0.00007258058,0.00009752507,0.000130697],"domain_scores_gemma":[0.9993408,0.0002545729,0.0001139783,0.00004740979,0.000179601,0.0000635102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004760541,0.0007077995,0.2250944,0.001672846,0.0001020789,0.07227475,0.3764471,0.003829822,0.008670993,0.0298425,0.00891134,0.2719703],"study_design_scores_gemma":[0.0000174121,0.000173819,0.208888,0.0004337758,0.00005782503,0.004151898,0.7150743,0.002322904,0.0024983,0.001360595,0.06498866,0.0000326335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765289,0.0004056066,0.0007028446,0.0002715883,0.000009520439,0.0001103262,0.0002093329,0.000008601,0.02175317],"genre_scores_gemma":[0.9949766,0.0003155112,0.001104036,0.00002808259,0.00000476794,0.00005187423,0.0001322023,0.000005412423,0.003381489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04875915,"threshold_uncertainty_score":0.09695071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854961104658632,"score_gpt":0.3143157863385331,"score_spread":0.2857661752919468,"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."}}