{"id":"W2822339182","doi":"10.5465/ambpp.2018.13488abstract","title":"Exploratory Study of Talent Management and Information Technology in Canadian Nonprofit Sector","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Talent management; Conceptualization; Interview; Exploratory research; Business; Public relations; Context (archaeology); Empirical research; Perspective (graphical); Marketing; Knowledge management; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006818449,0.0002728979,0.0003379379,0.00381621,0.0001383393,0.0001009899,0.0005644546,0.0001197132,0.0001015595],"category_scores_gemma":[0.00001454767,0.000283443,0.00003854692,0.001563298,0.0001806639,0.002422095,0.00076222,0.0001806839,0.0001016835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008860845,"about_ca_system_score_gemma":0.000005797061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00265719,"about_ca_topic_score_gemma":0.001929131,"domain_scores_codex":[0.9978602,0.000004178301,0.0007284567,0.0003929711,0.0004804175,0.0005338043],"domain_scores_gemma":[0.9992424,0.000005260215,0.0004581366,0.0001430718,0.000112137,0.0000390021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000168998,0.0006467841,0.3726699,0.005085774,0.0004847904,0.00001771642,0.002535808,0.00001691137,0.00005672294,0.5778455,0.008776533,0.03169461],"study_design_scores_gemma":[0.005480719,0.0003509762,0.5134073,0.0006817175,0.000440483,0.00000181225,0.05213667,0.0008223795,0.0002879785,0.009294379,0.4161933,0.0009023501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314733,0.00005107894,0.000008624708,0.000903604,0.00006884336,0.001736066,0.000001432844,0.00008041746,0.06567661],"genre_scores_gemma":[0.9983058,0.00006850795,0.0001585157,0.0008758306,0.000123753,0.000176915,0.000004188379,0.00002321039,0.0002632895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5685511,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510865950260951,"score_gpt":0.2228801895659501,"score_spread":0.2077715300633406,"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."}}