{"id":"W7097356886","doi":"","title":"Author manuscript, published in &amp;quot;1e conférence intercontinentale en intelligence territoriale (IT-Gatineau 2011), Gatineau: Canada (2011)&amp;quot; A LANDSCAPE POTENTIAL CHARACTERIZATION: SPATIAL TEMPLATE OF PEDESTRIAN AMBIENT FIELDS WITHIN THE","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Terrain; Measure (data warehouse); Entropy (arrow of time); Point (geometry); Perception","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005157496,0.0003936118,0.0005410939,0.0002232647,0.0001002644,0.000129383,0.000714476,0.000214798,0.007589758],"category_scores_gemma":[0.0001238183,0.0003070463,0.0001403722,0.0002730569,0.00009043793,0.0003744584,0.0001340151,0.0004562152,0.00006142699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095434,"about_ca_system_score_gemma":0.0001979916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.570015,"about_ca_topic_score_gemma":0.8163036,"domain_scores_codex":[0.9972368,0.0001815527,0.001182006,0.0004489977,0.0004854889,0.0004651347],"domain_scores_gemma":[0.9986768,0.00009664345,0.0002787594,0.0006070251,0.000149071,0.0001917506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002330146,0.002401019,0.1340877,0.001591083,0.002279505,0.0003896882,0.07322926,0.01217627,0.4262161,0.00226318,0.3203409,0.02269525],"study_design_scores_gemma":[0.005473464,0.001068186,0.06850339,0.0008447315,0.0009530485,0.0002041978,0.006283167,0.4672059,0.3577185,0.001455111,0.08463709,0.005653219],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8443846,0.00007282952,0.1447124,0.002018991,0.005622687,0.0008169829,0.0001575263,0.0001983562,0.00201574],"genre_scores_gemma":[0.9924396,0.00002524206,0.001160766,0.0001549145,0.0004895969,0.00005736986,0.0002655943,0.00003999719,0.005366956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4550296,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440712597227693,"score_gpt":0.2062265140369037,"score_spread":0.1818193880646267,"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."}}