{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002388997,0.0001340076,0.000482669,0.0002283247,0.004329488,0.0001351093,0.0006187458,0.0002464406,0.00001609094],"category_scores_gemma":[0.0005817076,0.0001204526,0.00005060739,0.0001857576,0.0006765445,0.0002858243,0.0009418115,0.0007452449,0.00004415566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910971,"about_ca_system_score_gemma":0.000412407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246249,"about_ca_topic_score_gemma":0.002012809,"domain_scores_codex":[0.9968109,0.0008732257,0.0004427703,0.0003986536,0.0007161708,0.0007583068],"domain_scores_gemma":[0.9973497,0.0004212967,0.0002037161,0.0008161216,0.0008127473,0.0003964173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003519992,0.0002214543,0.5209916,0.001946599,0.00009413494,0.000140664,0.2997644,0.000001017765,0.03927378,0.009457801,0.0003403544,0.1274162],"study_design_scores_gemma":[0.00107689,0.0005436232,0.5375944,0.00211837,0.00002395191,0.000001233025,0.4296547,0.00004731915,0.01572356,0.001831967,0.01093851,0.0004454119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988687,0.0007203888,0.00001532566,0.0002564568,0.0008169351,0.000887452,0.000001615019,0.00004583192,0.008568976],"genre_scores_gemma":[0.9969082,0.0001757804,0.0002188397,0.000007850505,0.0008720208,0.0002739141,0.000003450545,0.00003204473,0.0015079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298904,"threshold_uncertainty_score":0.9969667,"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."}}