{"id":"W4406104341","doi":"10.54254/2754-1169/2024.19450","title":"Study of the Factors Influencing House Prices in California, USA","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Langley Environmental Partners Society","funders":"","keywords":"Pace; House price; Real estate; Value (mathematics); Regression analysis; Variables; GRASP; Outcome (game theory); Affect (linguistics); Linear regression; Population; Econometrics; Actuarial science; Economics; Marketing; Business; Psychology; Demography; Statistics; Computer science; Geography; Microeconomics; Mathematics; Finance; Sociology","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":[0.0003763504,0.0001213737,0.0001864637,0.0006519837,0.0006784817,0.0008712162,0.0004077941,0.0002049516,0.002134162],"category_scores_gemma":[0.001729043,0.0001249857,0.0001785983,0.001693943,0.0001870811,0.0003345821,0.0002172613,0.0004647918,0.0001803419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692873,"about_ca_system_score_gemma":0.00118172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2641751,"about_ca_topic_score_gemma":0.4522349,"domain_scores_codex":[0.9997577,0.00002893108,0.00001384395,0.0000567334,0.0001168761,0.00002583026],"domain_scores_gemma":[0.9986075,0.0003650734,0.0002792534,0.00004335327,0.0005882175,0.0001167123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005089856,0.0002029673,0.9792057,0.00002862733,0.00007100985,0.0001742808,0.0007156604,0.0007812206,0.0001948644,0.0005600578,0.008595775,0.009418935],"study_design_scores_gemma":[0.00000270219,0.00001542008,0.9959746,0.000006008029,0.00001245807,0.00002246835,0.001070853,0.0009991723,0.00004981375,0.00005755661,0.001784697,0.000004293094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932283,0.0001154852,0.0001213498,0.0002897586,0.00001164081,0.00001030553,0.001534094,0.000006993095,0.004682032],"genre_scores_gemma":[0.9960251,0.0001867789,0.0002488072,0.00005307524,0.00001829848,0.00001073288,0.001888235,0.000004540274,0.001564404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2641751,"threshold_uncertainty_score":0.525275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108357927974181,"score_gpt":0.2559276645563302,"score_spread":0.2348440852765884,"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."}}