{"id":"W2236496568","doi":"","title":"The Effects of Team Diversity in Knowledge Sourcing Scope and Individual Learning Mode: A Multi-Level Approach.","year":2013,"lang":"en","type":"article","venue":"Pacific Asia Conference on Information Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Knowledge management; Categorization; Diversity (politics); Scope (computer science); Knowledge integration; Organizational learning; Computer science; Compromise; Process (computing); Knowledge value chain; Descriptive knowledge; Task (project management); Psychology; Domain knowledge; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005103863,0.0005583812,0.0006179305,0.002012717,0.001158233,0.002732909,0.001058871,0.0009579696,0.003058535],"category_scores_gemma":[0.02379449,0.0002506213,0.00105579,0.001074808,0.0017677,0.003263794,0.005402233,0.001290644,0.0002425113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555711,"about_ca_system_score_gemma":0.001645243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647592,"about_ca_topic_score_gemma":0.002498385,"domain_scores_codex":[0.9936505,0.00315119,0.0002237819,0.001109758,0.001315722,0.0005490107],"domain_scores_gemma":[0.9595349,0.02700445,0.005957694,0.001917075,0.001565825,0.00402017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004325176,0.003324069,0.7507732,0.0008016827,0.002131646,0.001160588,0.04702942,0.007362245,0.02166514,0.01776062,0.000738886,0.1429272],"study_design_scores_gemma":[0.0001959526,0.001833504,0.953678,0.0001677525,0.0007524112,0.0002242791,0.01199097,0.01464368,0.002939543,0.01188422,0.001619511,0.00007028533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891774,0.0002828326,0.004300264,0.000229952,0.00001743422,0.00008361144,0.00005932774,0.00001579357,0.005833333],"genre_scores_gemma":[0.9969568,0.00005916407,0.002328072,0.00004403339,0.00001011104,0.00007545358,0.0000338207,0.000007721134,0.000484863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005103863,"threshold_uncertainty_score":0.02699208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0690367988232748,"score_gpt":0.281211159831586,"score_spread":0.2121743610083112,"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."}}