{"id":"W3168911275","doi":"","title":"What We Should Know About Housing Reconstruction Costs","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Quantile; Econometrics; Skewness; Quantile regression; Statistics; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004876218,0.0005915161,0.0012579,0.002476404,0.0007166342,0.003921952,0.001798613,0.002603449,0.01778853],"category_scores_gemma":[0.06345379,0.0005072138,0.0009846105,0.004299222,0.001839025,0.01082538,0.001315044,0.005226716,0.004258395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002645616,"about_ca_system_score_gemma":0.002081288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03057154,"about_ca_topic_score_gemma":0.02424439,"domain_scores_codex":[0.9957886,0.001710661,0.0003204937,0.0008167836,0.0009919483,0.0003714638],"domain_scores_gemma":[0.9513938,0.03111626,0.00577961,0.002819424,0.006839088,0.002051811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004101,0.0002435453,0.3850596,0.003880089,0.0009706058,0.0004512868,0.00190711,0.005018212,0.000208304,0.04682459,0.2307839,0.3242427],"study_design_scores_gemma":[0.00009081195,0.0002165827,0.3464033,0.009485591,0.0005979715,0.001379165,0.007559011,0.008897481,0.0008377338,0.1664023,0.4579116,0.0002184912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1685977,0.1901004,0.0160235,0.5039715,0.003828002,0.00008936168,0.06136479,0.0001943806,0.05583046],"genre_scores_gemma":[0.8115119,0.08653481,0.007202952,0.05254147,0.006737377,0.0001165794,0.02782205,0.0002115872,0.007321274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03057154,"threshold_uncertainty_score":0.0607872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699359889243554,"score_gpt":0.218532129137955,"score_spread":0.2015385302455195,"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."}}