{"id":"W7071714602","doi":"","title":"Towards a Data Strategy for the Ontario Nonprofit Sector","year":2015,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonprofit sector; Context (archaeology); Conversation; Value (mathematics); Public sector; Nonprofit organization; Strategic planning; Technology strategy; Strategic management","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":[0.05894851,0.0005716978,0.0005945706,0.003510155,0.02894982,0.02846696,0.004516978,0.009347276,0.01060181],"category_scores_gemma":[0.07415728,0.001348507,0.0006981476,0.007912826,0.01241784,0.01692231,0.01376818,0.008372369,0.003427859],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1865055,"about_ca_system_score_gemma":0.5158017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9620494,"about_ca_topic_score_gemma":0.9660057,"domain_scores_codex":[0.9412557,0.01002214,0.002596982,0.002947036,0.03352201,0.009656185],"domain_scores_gemma":[0.8456044,0.02335053,0.005519012,0.008282451,0.08468898,0.03255463],"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":[0.00006588635,0.00008724246,0.01277933,0.0003337756,0.00002658715,0.00045754,0.0197439,0.0004822006,0.0010768,0.3574775,0.5653474,0.04212178],"study_design_scores_gemma":[0.00001839351,0.00001510738,0.005014868,0.0002269709,0.000008575542,0.0000539047,0.01667577,0.0003448942,0.0003312911,0.01289255,0.9643661,0.00005162312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01986085,0.002079404,0.00829958,0.8300725,0.001331761,0.001007935,0.003897936,0.000346105,0.1331039],"genre_scores_gemma":[0.3605216,0.007344612,0.0729501,0.193858,0.001375868,0.002137582,0.009198776,0.0008502865,0.3517632],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1865055,"threshold_uncertainty_score":0.9435383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2810779845512384,"score_gpt":0.3966563819980954,"score_spread":0.115578397446857,"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."}}