{"id":"W2488133938","doi":"10.4018/978-1-60566-954-0.ch020","title":"Operationalizing Knowledge Sharing for Informers","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Operationalization; Construct (python library); Knowledge sharing; Knowledge management; Consistency (knowledge bases); Psychology; Computer science; Epistemology; Artificial intelligence","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":[0.009413838,0.0006231575,0.0003445908,0.004833817,0.002195791,0.008913452,0.001225114,0.001577872,0.003212828],"category_scores_gemma":[0.01643023,0.0002141565,0.0004626841,0.006640323,0.009208113,0.01304421,0.004951715,0.001656818,0.0004304512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004854321,"about_ca_system_score_gemma":0.00341847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002610305,"about_ca_topic_score_gemma":0.002073934,"domain_scores_codex":[0.9906532,0.006028502,0.0005194281,0.0006627117,0.001677505,0.0004587513],"domain_scores_gemma":[0.982212,0.01266403,0.00243101,0.001275148,0.001015921,0.0004018823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004224323,0.000103316,0.03971503,0.0006686382,0.00006606602,0.0002164072,0.129707,0.001166492,0.001458537,0.6268682,0.003238741,0.1967493],"study_design_scores_gemma":[0.00001500194,0.0001697664,0.05930205,0.00268452,0.00009733944,0.001289198,0.2425211,0.006236801,0.002685375,0.5959914,0.08888979,0.0001177088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4612851,0.009427316,0.1098016,0.01328291,0.0002733195,0.0004178295,0.0004285072,0.0002404376,0.404843],"genre_scores_gemma":[0.9627615,0.002269026,0.0304895,0.0002680953,0.00004670141,0.0001557782,0.0002162778,0.00002780686,0.003765255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009413838,"threshold_uncertainty_score":0.04978573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837353300878384,"score_gpt":0.3260859784814745,"score_spread":0.2777124454726907,"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."}}