{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005375818,0.0004649027,0.0003680486,0.00116116,0.003044989,0.003434015,0.001655809,0.001547627,0.07140775],"category_scores_gemma":[0.01002699,0.0004674731,0.0002810243,0.001087086,0.001027677,0.001127627,0.003850091,0.001811094,0.02605868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102998,"about_ca_system_score_gemma":0.05204258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0797232,"about_ca_topic_score_gemma":0.2544167,"domain_scores_codex":[0.9969631,0.0005825938,0.00008185103,0.0001959081,0.001346101,0.0008304741],"domain_scores_gemma":[0.9855779,0.001436252,0.0005594151,0.0005072912,0.00530486,0.006614269],"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":[0.00006605654,0.0008994727,0.005911676,0.0002612276,0.000003937777,0.0000698033,0.001814506,0.0003731302,0.001184112,0.003777043,0.8784217,0.1072173],"study_design_scores_gemma":[0.00003551344,0.000192301,0.02222381,0.0002627862,0.000002694093,0.00007389724,0.001735784,0.0003690555,0.001604221,0.002048365,0.9714268,0.00002472834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08290575,0.0005811017,0.01312641,0.05136874,0.001936197,0.01704355,0.02296052,0.003983385,0.8060943],"genre_scores_gemma":[0.1179496,0.001114918,0.04016165,0.01470948,0.0005127342,0.00879031,0.02141894,0.000806982,0.7945354],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0797232,"threshold_uncertainty_score":0.2388827,"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."}}