{"id":"W4220714892","doi":"10.2196/31557","title":"The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Social distance; Distancing; Population; Mobile phone; Phone; Psychology; Social psychology; Entertainment; Sociology; Demography; Medicine; Computer science; Political science; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004249421,0.00005582894,0.0001826862,0.00004853421,0.0006131839,0.000019844,0.0005037952,0.00006879465,0.0001734156],"category_scores_gemma":[0.0004416482,0.0000473156,0.00003212808,0.0004890182,0.001213157,0.000203721,0.0002907945,0.0002855421,4.188659e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016628,"about_ca_system_score_gemma":0.0004385007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843137,"about_ca_topic_score_gemma":0.03914004,"domain_scores_codex":[0.9979194,0.0002688008,0.0006868687,0.00008033463,0.0008992556,0.0001453188],"domain_scores_gemma":[0.9988832,0.0004127617,0.0002831162,0.0002743799,0.00006161766,0.00008486706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005919636,0.000687683,0.3143032,0.0005864942,0.00005034057,7.907025e-7,0.5501827,0.0003094793,0.00001336626,0.0333615,0.0008040171,0.09964123],"study_design_scores_gemma":[0.0007014569,0.0001010662,0.1389813,0.00005032511,0.00007201815,5.057703e-7,0.5816165,0.2714652,0.00001779328,0.003758014,0.00300596,0.0002298964],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984818,0.00002588459,0.0002790705,0.0005517977,0.0000425565,0.0002769068,0.00009967163,0.000009586136,0.0002327251],"genre_scores_gemma":[0.9995759,0.00002532418,0.00004798299,0.00005110963,0.0000184371,0.00007441646,0.0001853456,0.000002223244,0.00001926585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2711557,"threshold_uncertainty_score":0.9783931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016616477872326,"score_gpt":0.3263446900981441,"score_spread":0.3061785253194209,"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."}}