{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006685634,0.0005145533,0.0007125635,0.0007965345,0.0006375545,0.001837673,0.002566443,0.00239567,0.02240504],"category_scores_gemma":[0.003510252,0.0003916475,0.0007729892,0.001387818,0.001304422,0.003121581,0.001667267,0.00185387,0.002815557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174155,"about_ca_system_score_gemma":0.001423677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0251406,"about_ca_topic_score_gemma":0.01171157,"domain_scores_codex":[0.9995635,0.0001045409,0.00002200208,0.0001531798,0.00008505566,0.00007163791],"domain_scores_gemma":[0.9994387,0.0002490174,0.0001067151,0.00005670961,0.00009248251,0.0000563026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001969064,0.00002763845,0.002365413,0.00005642907,0.00002630417,0.0001619072,0.0002271739,0.320951,0.0003942124,0.6620574,0.005900822,0.00781212],"study_design_scores_gemma":[0.00003018655,0.00003412901,0.001242478,0.00003569118,0.00002038127,0.0001803017,0.0001905856,0.7697946,0.0001287537,0.2030901,0.02520912,0.00004374794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06880923,0.001630059,0.7760785,0.014766,0.0007015919,0.0002177419,0.006472277,0.0004361772,0.1308885],"genre_scores_gemma":[0.8171623,0.002801202,0.03454464,0.0009123435,0.0003370185,0.0004147122,0.00206176,0.0001464437,0.1416195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0251406,"threshold_uncertainty_score":0.0749523,"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."}}