{"id":"W6925944488","doi":"10.20381/ruor-29349","title":"Multiple cities, Canada: Social Inclusion Audit and Toolkit for Local Libraries","year":2010,"lang":"en","type":"other","venue":"uO Research (University of Ottawa)","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Inclusion (mineral); Audit trail; Information technology audit; Field (mathematics)","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":[0.003125702,0.0003834886,0.0003137893,0.002132803,0.03612083,0.004642582,0.001821835,0.001129359,0.007665628],"category_scores_gemma":[0.007230327,0.0004782077,0.000310774,0.004547422,0.002536704,0.001346148,0.00479382,0.002019786,0.000596123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1290255,"about_ca_system_score_gemma":0.4315764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967467,"about_ca_topic_score_gemma":0.9994024,"domain_scores_codex":[0.9962239,0.0004700629,0.0001033067,0.0001769587,0.001625348,0.001400379],"domain_scores_gemma":[0.9884547,0.0007402759,0.0004376323,0.0003121175,0.006037112,0.004018152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005745129,0.0007859853,0.1878181,0.001121306,0.00009742624,0.0055041,0.1107361,0.002807956,0.003254094,0.03422682,0.3109481,0.3421256],"study_design_scores_gemma":[0.00006919964,0.0001503913,0.2813222,0.0004627421,0.00009097935,0.0006209316,0.2409976,0.001377612,0.002400334,0.001725639,0.4705265,0.0002557639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6926815,0.002408896,0.002896218,0.03370021,0.0002627673,0.002465679,0.004317325,0.0007052169,0.2605622],"genre_scores_gemma":[0.8341189,0.001552618,0.004694058,0.003686617,0.00002552957,0.0005854423,0.001025345,0.0001504299,0.1541611],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1290255,"threshold_uncertainty_score":0.9361501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420829098572944,"score_gpt":0.2351623630268777,"score_spread":0.2109540720411483,"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."}}