{"id":"W2942802183","doi":"10.4995/isuf2017.2017.6020","title":"URBAN LANDSCAPE ASSESSMENT","year":2017,"lang":"en","type":"article","venue":"Proceedings 24th ISUF 2017 - City and Territory in the Globalization Age","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landscape assessment; Geography; Population; Urbanism; Urban landscape; Cultural landscape; Element (criminal law); Place identity; Landscape archaeology; Tourism; Architecture; Sense of place; Urban planning; Environmental planning; Landscape design; Sociology; Archaeology; Political science; Civil engineering; Economic geography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003148013,0.0001478427,0.0001714535,0.00007037246,0.0003817637,0.0005427625,0.0004111765,0.00008746097,0.00003663677],"category_scores_gemma":[0.00003643538,0.000116286,0.00004230233,0.00007102508,0.00007580485,0.0003838456,0.00004904596,0.0001383397,0.00000657765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003925716,"about_ca_system_score_gemma":0.000007806677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174572,"about_ca_topic_score_gemma":0.0001185424,"domain_scores_codex":[0.9992315,0.00001213967,0.0001837264,0.0001755899,0.0002052999,0.0001917847],"domain_scores_gemma":[0.9996242,0.00001131799,0.0000855311,0.000186402,0.00003509963,0.00005744633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001307025,0.0001060144,0.8177202,0.0002021394,0.00009962252,0.00003560944,0.003062005,0.0001061895,0.0008259027,0.01239285,0.1635531,0.001883321],"study_design_scores_gemma":[0.0008657846,0.00005578106,0.8446674,0.0001075121,0.0001070679,0.00001892392,0.0004682693,0.0861813,0.0001232,0.002707537,0.06420644,0.0004908279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7228797,0.0006133199,0.004077187,0.0009814736,0.0007679104,0.0005474417,0.00003610298,0.0003545079,0.2697424],"genre_scores_gemma":[0.9989989,0.0001610074,0.0001319564,0.0001158798,0.0002252068,0.00001966219,0.00001357409,0.00001031669,0.0003234484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2761193,"threshold_uncertainty_score":0.5233871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214644986882777,"score_gpt":0.25484935333741,"score_spread":0.2333848546491323,"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."}}