{"id":"W4403513116","doi":"10.3390/eng5040139","title":"Housing Defect Assessment through Household Scale and General Contractor Level","year":2024,"lang":"en","type":"article","venue":"Eng—Advances in Engineering","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Scale (ratio); Geography; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001682609,0.0003481212,0.0002833342,0.002617626,0.00028992,0.0006309138,0.0004248352,0.0002833031,0.004196999],"category_scores_gemma":[0.004255195,0.0001141915,0.0005955214,0.00192154,0.0004109553,0.0005458603,0.0009708923,0.0003059513,0.0005317995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087602,"about_ca_system_score_gemma":0.0002844721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005117828,"about_ca_topic_score_gemma":0.007927363,"domain_scores_codex":[0.9985246,0.0003120042,0.0002105916,0.0001672431,0.0006417009,0.0001438501],"domain_scores_gemma":[0.9961761,0.0006180294,0.001537872,0.0002606375,0.001125606,0.0002817113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001100174,0.00008510968,0.981489,0.00004014415,0.00005153929,0.00006827038,0.0005051313,0.0004180696,0.000560078,0.0001575917,0.0005006502,0.01601437],"study_design_scores_gemma":[0.000003892828,0.0001957607,0.9952853,0.00001361759,0.00001773664,0.0001161404,0.001129495,0.001878657,0.0003100938,0.00008348904,0.0009560197,0.000009742336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927511,0.00005929445,0.001343832,0.00002594695,0.000007510601,0.0001403706,0.001029252,0.00002853571,0.004614164],"genre_scores_gemma":[0.9953322,0.00005626013,0.001759562,0.000008898513,0.000006693488,0.000147844,0.00105887,0.00000521727,0.00162451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005117828,"threshold_uncertainty_score":0.01404035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923376670241986,"score_gpt":0.2416391330852107,"score_spread":0.2124053663827909,"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."}}