{"id":"W6964774208","doi":"10.25949/19428716.v1","title":"Discovering key drivers of house price growth in eight Australian capital cities:1994-2017","year":2019,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"House price; Quarter (Canadian coin); Investment (military); Capital (architecture); Loan; Population; Population growth; Capital investment","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":[0.000378103,0.0002306544,0.0002302903,0.0009965968,0.0003885058,0.0009132304,0.0003572018,0.0003235648,0.001210589],"category_scores_gemma":[0.001574471,0.0002634658,0.000518256,0.001784558,0.0002983871,0.0006263837,0.0008204232,0.0006792785,0.0002906598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002688382,"about_ca_system_score_gemma":0.001507576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.381787,"about_ca_topic_score_gemma":0.4333654,"domain_scores_codex":[0.9997944,0.00002918574,0.00001564259,0.00003685924,0.00006495928,0.00005895192],"domain_scores_gemma":[0.9993078,0.0001002124,0.0002260629,0.00003087146,0.0002226184,0.0001123722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005935801,0.00006966118,0.9816779,0.00003452954,0.00008945219,0.0002257942,0.0009877339,0.003461357,0.0002663574,0.0008045267,0.001950148,0.01037312],"study_design_scores_gemma":[0.00000152083,0.00001633163,0.9915965,0.000006531074,0.00001463883,0.00001703051,0.00075752,0.006257815,0.00008022476,0.0001009877,0.001146202,0.00000476245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973006,0.0000840057,0.0002052181,0.0002599217,0.000004563851,0.0000125671,0.001039865,0.000007026416,0.00108627],"genre_scores_gemma":[0.9964675,0.0001732568,0.0002170182,0.00002490149,0.0000060342,0.00001416673,0.001753233,0.000003213848,0.001340754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.381787,"threshold_uncertainty_score":0.7591295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631375026378031,"score_gpt":0.214816751877702,"score_spread":0.1885030016139217,"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."}}