{"id":"W7094548960","doi":"","title":"Designing for Micropolitan Areas: A Public Library Design Manual for Adaptive and Circular Applications","year":2023,"lang":"","type":"article","venue":"Lincoln (University of Nebraska)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Quality (philosophy); Population; Distribution (mathematics); Literacy; Census; Quarter (Canadian coin); Investment (military)","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":[0.00194766,0.001918972,0.0008105654,0.002658793,0.001207753,0.002846067,0.00276578,0.001392441,0.2085427],"category_scores_gemma":[0.0113884,0.00170229,0.001110942,0.002419137,0.0007130855,0.00424219,0.002591269,0.001882937,0.106023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009154131,"about_ca_system_score_gemma":0.002368587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003234936,"about_ca_topic_score_gemma":0.006653868,"domain_scores_codex":[0.998467,0.0002307042,0.0001675276,0.0001257822,0.0009326063,0.0000763674],"domain_scores_gemma":[0.9936872,0.002528163,0.0002215483,0.0008722803,0.002460986,0.0002298866],"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":[0.0001181365,0.0002055714,0.000688497,0.001059692,0.00001746462,0.0004141528,0.001180102,0.002738478,0.005154444,0.01382049,0.4892876,0.4853154],"study_design_scores_gemma":[0.00004895041,0.00005421852,0.0007966229,0.0003280627,0.00001287299,0.0004303852,0.0002146993,0.004572341,0.001938372,0.006458233,0.9850899,0.0000552522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003187235,0.001819177,0.7280697,0.001783386,0.0007831566,0.004563031,0.009651461,0.09546958,0.1546734],"genre_scores_gemma":[0.01596579,0.002110373,0.7739617,0.0009929517,0.000211378,0.005003316,0.008436048,0.02271858,0.1705999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2085427,"threshold_uncertainty_score":0.6976449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405798040255434,"score_gpt":0.2339869251747193,"score_spread":0.179928944772165,"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."}}