{"id":"W2508824462","doi":"10.1007/s10109-016-0238-6","title":"Spatial representation in the social interaction potential metric: an analysis of scale and parameter sensitivity","year":2016,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Science Foundation","keywords":"Metric (unit); Metropolitan area; Representation (politics); Scale (ratio); Computer science; Intersection (aeronautics); Sensitivity (control systems); Geography; Cartography; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003032894,0.00005812576,0.0003056219,0.0004782895,0.0001359594,0.0000717266,0.0001110887,0.00009381979,0.00001506872],"category_scores_gemma":[0.0001610567,0.00003147298,0.0002330762,0.001201876,0.0002463403,0.0004752413,0.000007466888,0.0001285277,1.256175e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718387,"about_ca_system_score_gemma":0.00002290399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01887731,"about_ca_topic_score_gemma":0.01630701,"domain_scores_codex":[0.9975575,0.001129283,0.0005040439,0.0001209574,0.0005653614,0.0001228568],"domain_scores_gemma":[0.9987774,0.0004204056,0.0004624046,0.0000804439,0.0002002931,0.00005902424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040831,0.0001185102,0.9899929,0.000004897665,0.0001170282,0.000008192797,0.002070156,0.00002028044,0.0007480029,0.00006735729,0.000004862112,0.006743795],"study_design_scores_gemma":[0.0002390352,0.00006131222,0.9949976,0.00001673983,0.0003125319,0.000002441983,0.003573998,0.000543925,0.00002548438,0.0001470626,0.00003580747,0.00004408904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940476,0.00004022445,0.004858589,0.0006553106,0.0002368238,0.00009877598,0.000007491356,0.000003361461,0.00005181351],"genre_scores_gemma":[0.9996417,0.00002548095,0.0000173917,0.00001053138,0.0002967529,0.000001201022,0.000001328731,0.00000202803,0.000003648117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006699706,"threshold_uncertainty_score":0.9876561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323450671297188,"score_gpt":0.3328489424334439,"score_spread":0.309614435720472,"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."}}