{"id":"W4250561297","doi":"10.31235/osf.io/nehzj","title":"Filling the Gaps: Vacancy Chains and Agent-Based Models","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Vacancy defect; Computer science; Bureaucracy; Coding (social sciences); Statistical physics; Symbol (formal); Physics; Mathematics; Statistics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002111298,0.0006460724,0.001135485,0.0008048601,0.001016489,0.002780742,0.002027926,0.002892953,0.005841398],"category_scores_gemma":[0.008786813,0.0005490648,0.0009219346,0.001038321,0.00268031,0.004080724,0.002344312,0.002430853,0.0006547562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297562,"about_ca_system_score_gemma":0.001106951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00773921,"about_ca_topic_score_gemma":0.004234534,"domain_scores_codex":[0.9987602,0.0006843967,0.00005670101,0.00019325,0.0001652055,0.0001402261],"domain_scores_gemma":[0.9956793,0.002906004,0.0005004539,0.0003017949,0.0002402718,0.0003722769],"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":[0.0000327121,0.00003775009,0.001208622,0.00004491883,0.00002853684,0.000111041,0.0002815465,0.2817493,0.0001264292,0.7109066,0.001391562,0.004081005],"study_design_scores_gemma":[0.00002148752,0.00001636361,0.0001294286,0.00002086901,0.000007089239,0.00002392005,0.00007485476,0.6221323,0.00003623981,0.3740773,0.003446764,0.00001348111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07710057,0.001699877,0.8916296,0.00647036,0.0003016792,0.00008503988,0.0005305442,0.0002834149,0.02189898],"genre_scores_gemma":[0.9073771,0.001623866,0.07102136,0.0005722441,0.0002910187,0.0002902247,0.0003657796,0.0001140504,0.01834436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00773921,"threshold_uncertainty_score":0.01954144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0881260670938105,"score_gpt":0.2253992963908354,"score_spread":0.1372732292970249,"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."}}