{"id":"W3163451990","doi":"10.1177/10596011211018008","title":"A Resource Model of Team Resilience Capacity and Learning","year":2021,"lang":"en","type":"article","venue":"Group & Organization Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Smith School of Business, Queen's University; Social Sciences and Humanities Research Council of Canada","keywords":"Resilience (materials science); Knowledge management; Psychological resilience; Psychology; Team composition; Team learning; Resource (disambiguation); Adaptive capacity; Team effectiveness; Business; Environmental resource management; Social psychology; Computer science; Climate change; Economics; Cooperative learning; Pedagogy; Teaching method","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003994761,0.0001763039,0.0001938364,0.0002511066,0.0003255809,0.0001934777,0.0002265044,0.00005034764,0.0001623227],"category_scores_gemma":[0.0001580637,0.0001768943,0.00003508206,0.00131654,0.00008704633,0.0005683749,0.0006366142,0.0001327294,0.000056064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003376785,"about_ca_system_score_gemma":0.000008147658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006141348,"about_ca_topic_score_gemma":0.0000244502,"domain_scores_codex":[0.9985316,0.00002867688,0.0003199044,0.0004546131,0.0004081745,0.0002570111],"domain_scores_gemma":[0.999232,0.00002408789,0.0002078762,0.0003129758,0.0002042799,0.00001878628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004544749,0.0005760397,0.188212,0.002441616,0.0002125748,0.00005913812,0.001173914,0.154367,0.006875366,0.5953683,0.0182797,0.03238889],"study_design_scores_gemma":[0.003953564,0.00007812097,0.1375734,0.0005611294,0.0008314817,0.00001438718,0.02694175,0.5082732,0.003442935,0.01605994,0.300172,0.002098098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7790773,0.0002178584,0.1373822,0.001599555,0.0002025072,0.0007497278,0.000002547697,0.0003801858,0.08038807],"genre_scores_gemma":[0.9919207,0.0001482034,0.003413547,0.001261498,0.0001209899,0.00001032571,0.00005528234,0.00003494061,0.003034532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5793083,"threshold_uncertainty_score":0.7213541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009599447155380251,"score_gpt":0.1867143883851557,"score_spread":0.1771149412297754,"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."}}