{"id":"W4313259919","doi":"10.3390/math11010113","title":"Imbalanced Multimodal Attention-Based System for Multiclass House Price Prediction","year":2022,"lang":"en","type":"article","venue":"Mathematics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Oversampling; Leverage (statistics); Machine learning; Artificial intelligence; Mechanism (biology); Competitor analysis; Inference; Context (archaeology); Data-driven; Categorical variable; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008316631,0.0001434696,0.0003474364,0.0001516278,0.0003577329,0.00006913901,0.000216003,0.00005787144,0.00006958419],"category_scores_gemma":[0.00009489089,0.0001839488,0.0001637062,0.0001311377,0.00002244653,0.00009084086,0.00005967585,0.0001125724,0.0001087063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588507,"about_ca_system_score_gemma":0.00002197144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002028003,"about_ca_topic_score_gemma":0.00000368033,"domain_scores_codex":[0.9986999,0.00001369126,0.000658693,0.000302563,0.00004398329,0.0002811627],"domain_scores_gemma":[0.9989722,0.0001533885,0.0004408834,0.0003458927,0.000027942,0.00005972577],"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":[0.0007137821,0.00604939,0.1508519,0.009685743,0.000925201,0.00002671292,0.01033676,0.2195809,0.002023444,0.5771576,0.01710245,0.005546186],"study_design_scores_gemma":[0.001571706,0.00008612144,0.001224803,0.00001941772,0.00001546711,0.000005020151,0.0005930398,0.9844074,0.00006210381,0.0028878,0.008885799,0.0002412787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6861785,0.00007263487,0.290396,0.0002790049,0.002109963,0.001417287,0.001143411,0.0006739319,0.01772927],"genre_scores_gemma":[0.9770027,0.000003998676,0.02189381,0.00005528189,0.0001037623,0.0003961017,0.00004902148,0.00007626743,0.0004190454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7648266,"threshold_uncertainty_score":0.7501213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351410258906395,"score_gpt":0.205808829803232,"score_spread":0.1822947272141681,"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."}}