{"id":"W6992635390","doi":"","title":"London's AI team builds an open source model to address chronic homelessness","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Falling (accident); Open source; Data source","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":[0.001038212,0.0007412777,0.0004601721,0.0009587515,0.0006892039,0.001760756,0.00168154,0.001136947,0.02589525],"category_scores_gemma":[0.007466165,0.0006145571,0.001256187,0.0007123839,0.0004659662,0.001306756,0.001430343,0.001121394,0.007713988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653705,"about_ca_system_score_gemma":0.002321404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1865285,"about_ca_topic_score_gemma":0.2672336,"domain_scores_codex":[0.9996982,0.00008700192,0.0000195983,0.00005934119,0.00009395969,0.00004209461],"domain_scores_gemma":[0.9974853,0.001528311,0.00006686396,0.0001635282,0.0005693022,0.0001867436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004909122,0.0002787557,0.02768686,0.0007610833,0.0002959596,0.0005223813,0.0007589654,0.4387584,0.001286864,0.03053145,0.3415293,0.1570991],"study_design_scores_gemma":[0.0001194257,0.00006988035,0.001770879,0.0001008725,0.00006792933,0.00008040931,0.0002118554,0.8400275,0.000620192,0.01487939,0.1420039,0.0000478435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07291467,0.001662525,0.5762452,0.01767238,0.002600346,0.001022564,0.05303344,0.06580857,0.2090402],"genre_scores_gemma":[0.4886567,0.002071997,0.301836,0.003154955,0.0003266643,0.001116338,0.06817659,0.008792196,0.1258686],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1865285,"threshold_uncertainty_score":0.3708856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111701343694311,"score_gpt":0.2296918048962971,"score_spread":0.218574791459354,"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."}}