{"id":"W2014724060","doi":"10.1108/03055721111115539","title":"Finding KM solutions for a volunteer‐based non‐profit organization","year":2011,"lang":"en","type":"article","venue":"VINE","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Originality; Volunteer; Knowledge management; Data collection; Computer science; Sociology; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003408319,0.0002078129,0.0002251356,0.0007842137,0.003297197,0.003418151,0.0007810538,0.0009107205,0.002767355],"category_scores_gemma":[0.006946963,0.0001536286,0.0002934411,0.0005803502,0.0007497661,0.002437453,0.00255672,0.0005823047,0.0005881638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125943,"about_ca_system_score_gemma":0.007714657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430855,"about_ca_topic_score_gemma":0.004059517,"domain_scores_codex":[0.9984002,0.0009164035,0.00007652867,0.0001222852,0.0001550111,0.0003296224],"domain_scores_gemma":[0.9940827,0.001573524,0.0006803137,0.0004533165,0.001012335,0.002197676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006802488,0.004393158,0.1372678,0.002216491,0.0001600325,0.004117795,0.08837458,0.005509667,0.01287629,0.05067522,0.02684525,0.6668835],"study_design_scores_gemma":[0.000318001,0.002909859,0.06558512,0.001659032,0.000148269,0.002071838,0.5551676,0.02370109,0.006235154,0.08198421,0.2600954,0.0001245446],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920428,0.0005102549,0.03700235,0.009846088,0.0001157141,0.001052501,0.00006756322,0.0001785281,0.03079896],"genre_scores_gemma":[0.9656664,0.0003077873,0.02809934,0.0003025898,0.00001665837,0.0002745682,0.0001019494,0.00001793825,0.005212699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003418151,"threshold_uncertainty_score":0.0180251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169769470908766,"score_gpt":0.3077091360070948,"score_spread":0.1907321889162181,"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."}}