{"id":"W7032565093","doi":"","title":"Appendix: Toronto","year":2007,"lang":"en","type":"article","venue":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Public access; Local government; Foundation (evidence); Public housing","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006020588,0.001073171,0.0006642843,0.002825452,0.003787332,0.003849096,0.001493685,0.001335436,0.7736999],"category_scores_gemma":[0.003943537,0.000588567,0.0004572021,0.006213049,0.0004347706,0.001765575,0.001449337,0.001505519,0.4881072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01377402,"about_ca_system_score_gemma":0.02508106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5837893,"about_ca_topic_score_gemma":0.7105845,"domain_scores_codex":[0.9990149,0.00007508393,0.00005827912,0.000139024,0.0005040395,0.0002087687],"domain_scores_gemma":[0.9962035,0.0002221596,0.0001129338,0.0002340278,0.002720072,0.000507297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007389923,0.000003382418,0.00008536618,0.00005475651,6.085394e-7,0.00001596685,0.00002942205,0.00001996105,0.000008328317,0.001274178,0.9935192,0.004981403],"study_design_scores_gemma":[0.00000543045,0.000002766108,0.001057845,0.0000572016,0.000001161898,0.00001724451,0.00008709759,0.00001757337,0.00001618163,0.0001952045,0.998538,0.000004220865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000347275,0.0008060599,0.0002379579,0.001866094,0.001327495,0.0002332106,0.1528988,0.0004415336,0.8418416],"genre_scores_gemma":[0.00243187,0.001229013,0.0004744359,0.0006644446,0.0001861489,0.0002217632,0.05321748,0.0002785552,0.9412962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4162107,"threshold_uncertainty_score":0.8373236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788777476611982,"score_gpt":0.2695416773585603,"score_spread":0.2416539025924405,"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."}}