{"id":"W2591886005","doi":"10.1080/21650020.2017.1295817","title":"Assessing the accessibility of activity centres and their prioritisation: a case study for Perth Metropolitan Area","year":2017,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Curtin University of Technology; British Medical Association","keywords":"Metropolitan area; Public transport; Geography; Decentralization; Transport engineering; Regional science; Government (linguistics); Environmental planning; Consolidation (business); Geographic information system; Business; Cartography; Engineering; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004735857,0.0001379052,0.000287008,0.00008402469,0.004842429,0.0005410307,0.0003978632,0.00008825842,0.00001655197],"category_scores_gemma":[0.0002700885,0.00009121597,0.00006848334,0.0001380118,0.001635063,0.0008779415,0.00003653345,0.0003372567,6.521129e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006198441,"about_ca_system_score_gemma":0.0002459974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691918,"about_ca_topic_score_gemma":0.01048362,"domain_scores_codex":[0.9980807,0.0003156883,0.0002498067,0.0004602292,0.000443961,0.0004496569],"domain_scores_gemma":[0.9981276,0.0008221171,0.0001394659,0.000486013,0.0002646497,0.0001601398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006777838,0.0001935188,0.9640588,0.00007878384,0.00003833765,0.00009257691,0.03085388,2.119395e-7,0.00003766805,0.0001494014,0.00001866194,0.004410387],"study_design_scores_gemma":[0.0004720345,0.00009917536,0.9143727,0.00004929349,0.00002967259,0.000004029527,0.08382,0.00007074075,0.0001194714,0.0005957709,0.0002686939,0.00009837776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957056,0.0006639863,0.0002177626,0.0004621696,0.00006376181,0.0009804253,0.00004777907,0.00002523206,0.001833274],"genre_scores_gemma":[0.9995953,0.00001831965,0.00005028198,0.000003831712,0.0001266789,0.00003904359,0.000004737899,0.000009488028,0.000152288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05296612,"threshold_uncertainty_score":0.9964531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2224208610724096,"score_gpt":0.4859991736022609,"score_spread":0.2635783125298512,"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."}}