{"id":"W3125783039","doi":"","title":"Inquiry into Funding and Delivery of Programs to Reduce Homelessness","year":2017,"lang":"en","type":"article","venue":"UTAS Research Repository","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Government (linguistics); Business; Grant funding; Public funding; Public administration; Public relations; Political science; Economic growth; Public economics; Economics","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":[0.02490434,0.0002053076,0.0004538822,0.002726975,0.004186891,0.005268621,0.001842678,0.002113919,0.00613925],"category_scores_gemma":[0.07547856,0.0005814708,0.0003485984,0.002835841,0.003369007,0.003711639,0.007485511,0.0032324,0.0005230199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02129767,"about_ca_system_score_gemma":0.06005868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06289761,"about_ca_topic_score_gemma":0.05647457,"domain_scores_codex":[0.9730751,0.01537954,0.001089271,0.0007499438,0.006585894,0.003120348],"domain_scores_gemma":[0.9673603,0.01593189,0.003773065,0.00111412,0.006646106,0.005174406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001233043,0.0006732481,0.04675699,0.003505512,0.00007198808,0.001148951,0.3154843,0.001621816,0.001569348,0.1848581,0.07137646,0.3728099],"study_design_scores_gemma":[0.0001086747,0.0005117579,0.1288325,0.009070148,0.00009560563,0.0008331777,0.254496,0.002623775,0.0007049466,0.03214778,0.570495,0.00008054011],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4479518,0.01548382,0.007195382,0.3073147,0.0006381397,0.00232883,0.00118849,0.0001508976,0.2177479],"genre_scores_gemma":[0.9543823,0.008618864,0.005174044,0.008634752,0.0001925938,0.001708323,0.0002204754,0.00003739614,0.02103133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06289761,"threshold_uncertainty_score":0.1545261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2744648415135916,"score_gpt":0.5343948947605113,"score_spread":0.2599300532469196,"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."}}