{"id":"W2295026879","doi":"10.1108/bpmj-04-2015-0047","title":"Organizational knowledge generation: lessons from online communities","year":2016,"lang":"en","type":"article","venue":"Business Process Management Journal","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Knowledge management; Computer science; Knowledge value chain; Personal knowledge management; Organizational learning; Knowledge sharing; Process (computing); Bridge (graph theory); Context (archaeology); Reuse; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004249972,0.0001651816,0.0001727501,0.0001940762,0.001408565,0.000447159,0.0007549758,0.00005699605,0.00204428],"category_scores_gemma":[0.0001029952,0.0001264814,0.00004385659,0.0007842446,0.0001878548,0.0007311435,0.0002264734,0.0001253843,0.0002111864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208678,"about_ca_system_score_gemma":0.0001453068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005182137,"about_ca_topic_score_gemma":0.001256046,"domain_scores_codex":[0.9985526,0.0001563583,0.0003178087,0.0001870236,0.000471797,0.0003144549],"domain_scores_gemma":[0.9986956,0.00006365361,0.0001836752,0.0001593582,0.0007619374,0.0001357823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006814636,0.001092438,0.04448483,0.0002305022,0.000639702,0.00009884111,0.03598858,0.00008810085,0.0002279066,0.4868782,0.02629686,0.403906],"study_design_scores_gemma":[0.005021894,0.0000490338,0.05938814,0.001222053,0.0004828739,0.000009926562,0.05937574,0.001414459,0.0001524454,0.2133758,0.6578167,0.001690956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1963095,0.002442461,0.1414132,0.1192985,0.005337464,0.001096349,0.0000930133,0.0008106094,0.533199],"genre_scores_gemma":[0.9862055,0.001726507,0.0007429416,0.000269421,0.003151109,0.00001201904,0.00005428411,0.00002848233,0.007809767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.789896,"threshold_uncertainty_score":0.9998915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744581910091914,"score_gpt":0.3450567172332835,"score_spread":0.2576108981323644,"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."}}