{"id":"W2395915234","doi":"","title":"The need for social and affordable housing in Melbourne's Eastern Metropolitan Region","year":2015,"lang":"en","type":"article","venue":"Planning News","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Metropolitan area; Public housing; Alliance; Business; Economic growth; State (computer science); Investment (military); Public administration; Geography; Political science; Economics; Archaeology","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":[0.0007388893,0.00009129346,0.000130528,0.0004403978,0.0008308142,0.002217368,0.0003804484,0.0007355862,0.004842904],"category_scores_gemma":[0.002215568,0.0001366135,0.0001226544,0.0007273895,0.0006344519,0.001329528,0.001528151,0.001292142,0.0002480817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004086546,"about_ca_system_score_gemma":0.00438747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1479383,"about_ca_topic_score_gemma":0.3336957,"domain_scores_codex":[0.9995359,0.0001345065,0.00001427114,0.00002636063,0.0001192074,0.0001697668],"domain_scores_gemma":[0.9981568,0.0003253101,0.0004303416,0.00003306686,0.0001914447,0.0008629026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004013362,0.000272697,0.2204595,0.001793396,0.0001879901,0.005981458,0.02414203,0.004738686,0.006155868,0.191256,0.3269225,0.2176885],"study_design_scores_gemma":[0.00002503465,0.00009328942,0.6286087,0.0006208323,0.00006424333,0.00082279,0.02140808,0.00707351,0.0004471376,0.01629705,0.3244488,0.00009066045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6943377,0.01431259,0.001023954,0.2209282,0.0005394099,0.00004757294,0.0008675501,0.0000418729,0.06790112],"genre_scores_gemma":[0.9776123,0.0045244,0.0007267155,0.003658805,0.0003814333,0.00002509318,0.0001994667,0.00001426782,0.01285751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1479383,"threshold_uncertainty_score":0.2941544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155927790792609,"score_gpt":0.2822866232401594,"score_spread":0.1666938441608985,"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."}}