{"id":"W4400321996","doi":"10.22215/rcin/m.24c1","title":"CICP Data Literacy 1.0 - Module 1: Data in the Nonprofit Sector","year":2024,"lang":"en","type":"report","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carleton University","keywords":"Nonprofit sector; Business; Computer science; Literacy; Data science; Public relations; Psychology; Political science; Pedagogy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","open_science","insufficient_payload"],"category_scores_codex":[0.04677182,0.0003622958,0.000639619,0.0005662139,0.00008807288,0.003921403,0.02761009,0.0002099316,0.00457489],"category_scores_gemma":[0.009027058,0.0001872733,0.00009152501,0.001597,0.0001056094,0.002390482,0.02274659,0.0008063582,0.006098916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008031788,"about_ca_system_score_gemma":0.0008336214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004435761,"about_ca_topic_score_gemma":0.004657397,"domain_scores_codex":[0.9877319,0.0005968239,0.001690977,0.002781206,0.006767396,0.0004317316],"domain_scores_gemma":[0.9720978,0.002105588,0.0003994416,0.02503454,0.0002772734,0.00008536003],"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":[0.000003504444,0.00006005208,0.00006620321,0.0001125378,0.00004623186,0.000197201,0.0001795248,9.827847e-7,3.296619e-7,0.002605803,0.8942158,0.1025118],"study_design_scores_gemma":[0.00007149027,0.00001294995,0.0004947451,0.0001222992,0.00006996866,0.00002320093,0.0005887672,0.002387572,6.975951e-7,0.0127915,0.9831717,0.0002651249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002191037,0.004687491,0.007036986,0.01644849,0.008003992,0.001511824,0.04104387,0.0001645693,0.9208837],"genre_scores_gemma":[0.01699875,0.003946443,0.006531458,0.009155134,0.003638749,0.0001229493,0.1009465,0.0001417777,0.8585182],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1022467,"threshold_uncertainty_score":0.9993203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6647299006353016,"score_gpt":0.5554889791904332,"score_spread":0.1092409214448684,"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."}}