{"id":"W3163019841","doi":"10.31234/osf.io/mb9zt","title":"Dynamic Model of Displacement","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; John D. and Catherine T. MacArthur Foundation; National Science Foundation","keywords":"Corollary; Displacement (psychology); Process (computing); Range (aeronautics); Computer science; Psychology; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001132318,0.00009828258,0.000207374,0.00003763395,0.00001322084,0.00001302965,0.0000706582,0.0001066733,0.0002919641],"category_scores_gemma":[0.00005234135,0.00008911415,0.00008915871,0.00002512556,0.000008614773,0.00002035022,0.0001956872,0.0001067895,0.000001846621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005028232,"about_ca_system_score_gemma":0.0000627734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002749068,"about_ca_topic_score_gemma":0.00009492104,"domain_scores_codex":[0.9992872,0.00001599044,0.0003177637,0.0001423548,0.0001721953,0.00006448424],"domain_scores_gemma":[0.9993181,0.00003949019,0.0001879166,0.0003357118,0.00009823046,0.00002058608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001610325,0.0004159822,0.001004716,0.00328723,0.0001506312,0.000001238971,0.001734686,0.6201254,0.0009220633,0.3672987,0.0020002,0.00304303],"study_design_scores_gemma":[0.0000687109,0.000002739612,0.0002469629,0.00009702895,0.00003730074,2.79969e-7,0.00002699604,0.8710591,0.0001051414,0.1282716,0.000005253395,0.0000789255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3703848,0.00002674763,0.6232972,0.0001553522,0.0001274264,0.0001857483,0.00002638422,0.00003426802,0.005762112],"genre_scores_gemma":[0.8073084,0.00001439976,0.1903705,0.00001288675,0.000005183904,0.00001058411,0.0001646946,0.00001113624,0.002102236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4369236,"threshold_uncertainty_score":0.3633969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08429121292224963,"score_gpt":0.3668598503393616,"score_spread":0.282568637417112,"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."}}