{"id":"W7010228552","doi":"","title":"Housing price prediction using convolutional transformer","year":2024,"lang":"en","type":"other","venue":"DR-NTU (Nanyang Technological University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Hyporeflexia; TSG101; Tubulopathy; Filter (signal processing); Sulfinpyrazone","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":[0.0001990218,0.0006030213,0.0003208472,0.0004848438,0.0001291798,0.0003980994,0.0005045033,0.0002831336,0.001803276],"category_scores_gemma":[0.0005505036,0.0002132673,0.0005362688,0.000571991,0.0001354859,0.0006423374,0.0003459369,0.0005644212,0.000663202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255491,"about_ca_system_score_gemma":0.0004966697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279819,"about_ca_topic_score_gemma":0.02087219,"domain_scores_codex":[0.9998966,0.000009010764,0.000004889816,0.00003746838,0.0000271838,0.00002475935],"domain_scores_gemma":[0.9998873,0.00003045287,0.00001409151,0.00001524561,0.00004349183,0.000009410585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007122906,0.0003816586,0.0176223,0.00009182476,0.000223859,0.0003484293,0.00005329509,0.4016367,0.02683937,0.004073341,0.01297889,0.5350379],"study_design_scores_gemma":[0.000002736282,0.00001633732,0.001050961,0.000001412027,0.000007962013,0.00001482843,0.000003242036,0.9962846,0.00196767,0.0004051181,0.0002422656,0.000002805167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5521472,0.001137339,0.4268886,0.0005843451,0.000297032,0.00006226152,0.002074902,0.005375711,0.01143268],"genre_scores_gemma":[0.972785,0.0002827489,0.02110032,0.00006365421,0.00003125853,0.00001527893,0.001407171,0.00004561412,0.004268876],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02279819,"threshold_uncertainty_score":0.04533094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649554105056316,"score_gpt":0.2201903795768932,"score_spread":0.19369483852633,"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."}}