{"id":"W2319169195","doi":"10.1177/0013916514543177","title":"Free Range Kids? Using GPS-Derived Activity Spaces to Examine Children’s Neighborhood Activity and Mobility","year":2014,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Western University","funders":"","keywords":"Global Positioning System; Pedestrian; Perception; Geography; Descriptive statistics; Travel behavior; Psychology; Travel time; Test (biology); Demography; Transport engineering; Statistics; Computer science; Mathematics; Sociology; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005059193,0.0001943909,0.0002529734,0.00003798585,0.0004987688,0.00009579875,0.0001721305,0.0001224529,0.0002721772],"category_scores_gemma":[0.00003207403,0.000181009,0.00005178392,0.00005824945,0.000423395,0.0004165652,0.0001202894,0.0001458141,0.000003901307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006731838,"about_ca_system_score_gemma":0.00001607819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00363731,"about_ca_topic_score_gemma":0.002338758,"domain_scores_codex":[0.998553,0.0001611389,0.0001291565,0.000522319,0.0003070311,0.0003273437],"domain_scores_gemma":[0.9992497,0.00005748866,0.00007532418,0.0003422885,0.000006429924,0.0002687995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002896726,0.0004287168,0.9528569,0.000007890544,0.000005889977,9.127374e-7,0.00107069,8.972075e-7,0.02605515,0.00001021735,0.000003733839,0.01953005],"study_design_scores_gemma":[0.0004949414,0.00007838199,0.995402,0.000007443866,0.00009766637,2.859657e-7,0.0001156905,0.00001821366,0.003329635,0.00006138242,0.0001555839,0.0002387101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981268,0.00006909959,0.0005061937,0.0003571269,0.00007923294,0.0006271967,0.00004275722,0.00004453729,0.0001470385],"genre_scores_gemma":[0.9993204,0.00004013039,0.0002697982,0.0000320241,0.0001489678,0.00003709405,0.000003353722,0.0000123232,0.0001358388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04254518,"threshold_uncertainty_score":0.7381333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121382928828876,"score_gpt":0.2637929156201343,"score_spread":0.2425790863318456,"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."}}