{"id":"W2094552861","doi":"10.1097/00001648-200611001-01218","title":"Comparison of Time-Activity Patterns in Different Periods in Tianjin, China","year":2006,"lang":"en","type":"article","venue":"Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; China; Statistic; Medicine; Environmental health; Toxicology; Geography; Statistics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001457606,0.00009781626,0.0006349254,0.00007508778,0.00005162146,0.00000284975,0.0001816062,0.00015856,0.0004392677],"category_scores_gemma":[0.0002954007,0.00008223543,0.00007313411,0.0001483622,0.0002439713,0.00007635179,0.00001965322,0.0002082806,0.000008937676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008561851,"about_ca_system_score_gemma":0.00003615864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06270771,"about_ca_topic_score_gemma":0.1222071,"domain_scores_codex":[0.9978606,0.0009616952,0.0005166972,0.0002434612,0.0000777024,0.0003398582],"domain_scores_gemma":[0.9990671,0.0005613938,0.0001752586,0.0001455703,0.00001132088,0.00003934372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002119555,0.000274993,0.9969982,0.00001153,0.000001843169,0.000001431409,0.001140229,0.00005557623,0.0001774136,0.0002906951,0.0001874322,0.000839484],"study_design_scores_gemma":[0.0001857154,0.00002529301,0.9952745,0.00001445751,0.000002665741,2.824505e-8,0.0000835088,0.0004275189,0.00008189242,0.00357816,0.0002488273,0.00007745637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949391,0.0001386372,0.0003028042,0.001565189,0.0001272368,0.0001467838,0.00001126445,0.00001803171,0.00275091],"genre_scores_gemma":[0.9995514,0.000006046771,0.00004590581,0.00003566215,0.0001164177,0.000008482371,0.00001910653,0.000004067455,0.0002129114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05949941,"threshold_uncertainty_score":0.9435338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05610796073557808,"score_gpt":0.4009073134105967,"score_spread":0.3447993526750187,"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."}}