{"id":"W2150443611","doi":"10.1126/science.1106340","title":"Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance","year":2005,"lang":"en","type":"article","venue":"Science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"National Institute of General Medical Sciences","keywords":"Network structure; Work (physics); Knowledge management; Team composition; Computer science; Phase (matter); Engineering; Distributed computing","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":[0.003627582,0.0004040645,0.0003924881,0.002565088,0.000951207,0.002571256,0.0006556545,0.001144355,0.001776679],"category_scores_gemma":[0.03552518,0.0004775654,0.0004370502,0.001159606,0.001743257,0.00500864,0.001500598,0.0005565358,0.0004011872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124948,"about_ca_system_score_gemma":0.0005822529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075816,"about_ca_topic_score_gemma":0.0008640828,"domain_scores_codex":[0.9980764,0.0008632676,0.0001127355,0.000371245,0.0003133757,0.0002627951],"domain_scores_gemma":[0.9623914,0.02370036,0.008766008,0.001819885,0.002087294,0.00123499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006881972,0.0004190013,0.3733058,0.0004938775,0.00065879,0.0004997687,0.00600477,0.3195502,0.03020519,0.1714302,0.002033365,0.09471072],"study_design_scores_gemma":[0.0001228151,0.0002710784,0.2177689,0.000124107,0.000174701,0.0005281626,0.003179296,0.6025072,0.008878048,0.1638901,0.002452576,0.0001029538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632337,0.0002473617,0.03278975,0.0002706933,0.000007720811,0.00003416521,0.00006880821,0.00005686,0.003290913],"genre_scores_gemma":[0.99679,0.00005926943,0.002872221,0.000008002723,0.000006029641,0.00002106588,0.00003473825,0.000008085421,0.000200529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003627582,"threshold_uncertainty_score":0.01918471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005424297446348432,"score_gpt":0.2468048287048288,"score_spread":0.2413805312584803,"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."}}