{"id":"W7071155782","doi":"","title":"Shared Spaces: Funding and Managing Libraries and Parks in Tough Times","year":2012,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; TD Bank","keywords":"Government (linguistics); Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003961079,0.0002518218,0.0003283873,0.001790003,0.007744224,0.01398397,0.00212316,0.002964888,0.03786147],"category_scores_gemma":[0.02397625,0.0002722288,0.0002596985,0.003460139,0.005251341,0.01247436,0.012362,0.001981418,0.002659951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004879345,"about_ca_system_score_gemma":0.0147766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566721,"about_ca_topic_score_gemma":0.04306564,"domain_scores_codex":[0.9943264,0.002411905,0.0001681297,0.0001958816,0.001029395,0.001868332],"domain_scores_gemma":[0.9862321,0.002572791,0.001397284,0.000753745,0.001434222,0.007609865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000278146,0.0001439537,0.01339074,0.00050104,0.00005370252,0.0005644375,0.04170612,0.001387008,0.0003336185,0.4043209,0.2858374,0.2514829],"study_design_scores_gemma":[0.00006605365,0.0001526482,0.01784197,0.0009108987,0.00003631772,0.0002626703,0.1291368,0.00122404,0.0003273455,0.1099816,0.7399946,0.00006501818],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2579273,0.01031709,0.006717361,0.1698673,0.001913075,0.0001481709,0.0006745179,0.0003193492,0.5521158],"genre_scores_gemma":[0.9540954,0.002049234,0.001915226,0.001418558,0.0004739549,0.0001130226,0.0001756008,0.0000974473,0.03966159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03786147,"threshold_uncertainty_score":0.1266592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013124596857186,"score_gpt":0.2625367302378365,"score_spread":0.2324054842692646,"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."}}