{"id":"W4308456012","doi":"10.1111/caim.12532","title":"Boosting the confidence of new product development teams: The role of team boundary spanning, team size and functional diversity","year":2022,"lang":"en","type":"article","venue":"Creativity and Innovation Management","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Boundary spanning; Team composition; Diversity (politics); New product development; Boundary (topology); Team effectiveness; Business; Psychological safety; Creativity; Boosting (machine learning); Psychology; Marketing; Teamwork; Product (mathematics); Knowledge management; Process management; Applied psychology; Management; Social psychology; Computer science; Mathematics; Sociology; Economics","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":[0.00609065,0.000221565,0.0002336339,0.0009752682,0.000975396,0.002888651,0.0007213638,0.0006061199,0.001502554],"category_scores_gemma":[0.04793242,0.0001642935,0.0002168746,0.0004354699,0.001691574,0.001783994,0.003764893,0.001048433,0.0001615018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006413856,"about_ca_system_score_gemma":0.0009853505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008389525,"about_ca_topic_score_gemma":0.0009273898,"domain_scores_codex":[0.9951698,0.002891981,0.0001763875,0.0002990905,0.001067184,0.0003954298],"domain_scores_gemma":[0.9295334,0.03786751,0.01743618,0.002712674,0.003188081,0.009262176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005214714,0.001040613,0.8219306,0.0001242358,0.0002025012,0.0002926272,0.01633063,0.001712515,0.005208171,0.004921977,0.0006768819,0.1470378],"study_design_scores_gemma":[0.00004763215,0.0005823616,0.9726807,0.0001216641,0.00004892442,0.0002719145,0.01239634,0.003515246,0.0008870605,0.007446075,0.001956414,0.00004551633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944853,0.0002010924,0.0009418506,0.0003218557,0.000008682855,0.0000083178,0.000005434432,0.000005003984,0.004022497],"genre_scores_gemma":[0.999639,0.00004035722,0.000203616,0.00002186386,0.000005978525,0.000003115165,0.000004364082,0.000001583505,0.00008006626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00609065,"threshold_uncertainty_score":0.03221083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655268950844137,"score_gpt":0.2636252727716372,"score_spread":0.2370725832631958,"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."}}