{"id":"W4306410560","doi":"10.1016/j.compenvurbsys.2022.101896","title":"How regularly do people visit service places?","year":2022,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of General Medical Sciences; University at Buffalo; National Institutes of Health","keywords":"Visitor pattern; Context (archaeology); Service (business); Mobile service; Healthcare service; Psychology; Health care; Computer science; Business; Geography; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008077718,0.0001709812,0.0002762529,0.001336621,0.0005689594,0.002097166,0.0005584046,0.00112047,0.004091956],"category_scores_gemma":[0.01170205,0.0001851357,0.000372201,0.002142339,0.0006856318,0.0025962,0.0005246869,0.0009303937,0.0009908755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007742111,"about_ca_system_score_gemma":0.0005611072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02959258,"about_ca_topic_score_gemma":0.05146073,"domain_scores_codex":[0.9993168,0.0002428614,0.00005667053,0.00009733155,0.0001471011,0.0001391336],"domain_scores_gemma":[0.9928805,0.002629606,0.002178248,0.0002984349,0.0009084333,0.001104894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009797222,0.00006820251,0.9683185,0.00006839609,0.000123118,0.00007798359,0.003705856,0.0001793745,0.0001519542,0.000694689,0.002686728,0.02382729],"study_design_scores_gemma":[0.000006477361,0.00006552842,0.9611163,0.0000904181,0.0001130576,0.0004216307,0.02980034,0.0009781948,0.0001672355,0.001722425,0.005485205,0.0000330974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835843,0.0009360321,0.0007583624,0.003760224,0.00008497417,0.00001222593,0.001422032,0.00002453839,0.009417263],"genre_scores_gemma":[0.9980887,0.000452489,0.0001595741,0.0001715723,0.00003748776,0.000007777491,0.0003412268,0.000006840121,0.0007343335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02959258,"threshold_uncertainty_score":0.05884063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040223359770752,"score_gpt":0.1968877328239309,"score_spread":0.1864854992262234,"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."}}