{"id":"W7073621325","doi":"","title":"Influence of Community Design and Sociodemographic Characteristics on Teleworking","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carpool; Census; Traffic congestion; Marital status; Public transport; Travel behavior; Urban design; Land use","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":[0.001474304,0.0001975836,0.0003300652,0.0007102915,0.001248898,0.001184135,0.0006096174,0.0003184641,0.004964491],"category_scores_gemma":[0.007594742,0.0001567039,0.0004689812,0.001251186,0.0006957703,0.0003660226,0.001069559,0.0003935542,0.0002123592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390748,"about_ca_system_score_gemma":0.002479271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.158427,"about_ca_topic_score_gemma":0.2790348,"domain_scores_codex":[0.9984541,0.0008417135,0.00007662431,0.0001545448,0.0002116329,0.000261319],"domain_scores_gemma":[0.9954821,0.001759293,0.001041549,0.0003495402,0.0003743601,0.0009930483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007185357,0.0001152672,0.9913867,0.00001637786,0.00005914281,0.0001810258,0.001053906,0.0001247272,0.00008140795,0.000208676,0.0001374309,0.006563519],"study_design_scores_gemma":[0.000003966476,0.00008332619,0.9947195,0.00002825091,0.00003062466,0.00008452529,0.004156897,0.0002483572,0.00003421423,0.00009934043,0.0005065826,0.000004347486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978478,0.0001891752,0.0001295726,0.0001064335,0.000005136251,0.00002053178,0.0001333237,0.000002231408,0.001565841],"genre_scores_gemma":[0.9991993,0.00008796357,0.0001155404,0.00001477717,0.00000262184,0.000008123102,0.00007258861,0.000001903493,0.0004971665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.158427,"threshold_uncertainty_score":0.3150097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154541996980412,"score_gpt":0.2899582915219848,"score_spread":0.1745040918239436,"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."}}