{"id":"W1981125723","doi":"10.1186/1471-2288-12-39","title":"Measuring sidewalk distances using Google Earth","year":2012,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research and Innovation; Heart and Stroke Foundation of Canada","keywords":"Computer science; MEDLINE; Data science; Information retrieval; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004845483,0.0009609194,0.0005507985,0.006878226,0.0005698245,0.001269294,0.001382196,0.0004455923,0.007660936],"category_scores_gemma":[0.00288843,0.0003627432,0.0008653842,0.007027876,0.0003436073,0.0009153145,0.001465868,0.000460105,0.003331092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00075935,"about_ca_system_score_gemma":0.001968944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1624318,"about_ca_topic_score_gemma":0.2755757,"domain_scores_codex":[0.998915,0.00008608736,0.00009211988,0.0001679597,0.0006360367,0.0001028916],"domain_scores_gemma":[0.9979298,0.0002767798,0.0003156809,0.0002125985,0.001144523,0.0001205788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000666558,0.0003203822,0.4953673,0.003231659,0.0005546107,0.0007998636,0.004364114,0.01278683,0.01359796,0.003651199,0.05899496,0.4056645],"study_design_scores_gemma":[0.00006844202,0.0002043335,0.8584522,0.0005315937,0.0002262773,0.001203832,0.004197011,0.03945827,0.01303578,0.002257932,0.08007449,0.0002898423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6097896,0.001059394,0.0979723,0.0004000276,0.0001600982,0.00209162,0.2314847,0.01174098,0.04530145],"genre_scores_gemma":[0.6783292,0.0009713362,0.21739,0.0001023919,0.00003042529,0.001274075,0.09422039,0.0005295299,0.007152677],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1624318,"threshold_uncertainty_score":0.3229728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8103782826320634,"score_gpt":0.597717910371374,"score_spread":0.2126603722606893,"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."}}