{"id":"W2548194124","doi":"10.3968/8840","title":"Talent Attraction and Its Relationship to Organisational Productivity","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Attraction; Expectancy theory; Empirical research; Marketing; Sociology; Business; Management; Economics; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002271811,0.0002801597,0.0003201142,0.003333987,0.001008323,0.002955708,0.0005865808,0.0007728448,0.009340249],"category_scores_gemma":[0.01727586,0.0001167035,0.0004121629,0.00235113,0.001285005,0.00123788,0.002505597,0.001075211,0.000725345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844879,"about_ca_system_score_gemma":0.001376108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016542,"about_ca_topic_score_gemma":0.001329913,"domain_scores_codex":[0.9980691,0.0005446473,0.00009895466,0.0001767827,0.0006819587,0.0004285558],"domain_scores_gemma":[0.9645503,0.02116053,0.006350617,0.000758294,0.002295311,0.004884966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005705116,0.00228149,0.8065901,0.0006117492,0.0003461359,0.0007640002,0.009171277,0.00601211,0.001758729,0.03703988,0.00212752,0.1327266],"study_design_scores_gemma":[0.00002521593,0.0005854334,0.9683806,0.0001535668,0.00007756602,0.0002272689,0.004254077,0.002600658,0.0007149279,0.01769415,0.005228885,0.00005765141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459213,0.001575794,0.003899512,0.00139234,0.00006408252,0.00005877089,0.0001577936,0.00005271636,0.04687768],"genre_scores_gemma":[0.9981385,0.0002079599,0.0003272445,0.00003172172,0.00002818137,0.00001390164,0.00003175435,0.000003524545,0.001217142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009340249,"threshold_uncertainty_score":0.03124624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03262064210972786,"score_gpt":0.2395996978102405,"score_spread":0.2069790557005126,"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."}}