{"id":"W7070575688","doi":"","title":"The Pulse of the Nation on 3 Revolutions: Annual Investigation of Nationwide Mobility Trends","year":2022,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Pandemic; Coronavirus disease 2019 (COVID-19); Salt lake; Trend analysis; Travel survey; Public opinion; Survey data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007888768,0.0001447151,0.0001611062,0.001888357,0.0005094332,0.0009497658,0.0004063464,0.0004166658,0.001000769],"category_scores_gemma":[0.003291166,0.0001492807,0.0001932544,0.003756898,0.0002293833,0.001193086,0.001060392,0.0005355605,0.0003547203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067359,"about_ca_system_score_gemma":0.0015258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08455558,"about_ca_topic_score_gemma":0.1661629,"domain_scores_codex":[0.9995677,0.00008638013,0.00004006868,0.00007390873,0.0001362265,0.00009581463],"domain_scores_gemma":[0.9981453,0.0002263277,0.0005581709,0.0001498939,0.0006921943,0.0002280741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003359097,0.00003563896,0.9668645,0.00007066253,0.00004203118,0.00007576328,0.002245551,0.0001715377,0.0002103737,0.000445198,0.007994157,0.02181108],"study_design_scores_gemma":[9.994677e-7,0.00003075747,0.9867052,0.00003428855,0.00001091745,0.00006593635,0.004388832,0.0002767592,0.00007754743,0.00005404574,0.008347514,0.000007057028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816664,0.0006430037,0.0004857745,0.001041665,0.00007108105,0.00005581866,0.01141299,0.00002841159,0.004594827],"genre_scores_gemma":[0.9806774,0.001330039,0.0008241962,0.0002879162,0.00007137717,0.0001225906,0.01483481,0.00001508517,0.001836614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08455558,"threshold_uncertainty_score":0.1681268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867131401514665,"score_gpt":0.2865471708730092,"score_spread":0.2578758568578626,"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."}}