{"id":"W7054629244","doi":"","title":"Adopting AI for Recruitment and Innovation in SMEs: The Role of Managers and Employees","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Face (sociological concept); Automation; Emerging technologies; Information technology; Small and medium-sized enterprises","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009857597,0.00003847097,0.00009440561,0.0001704769,0.00006071122,0.00006240961,0.00006356261,0.0000373283,6.861289e-8],"category_scores_gemma":[0.0001553983,0.00002484302,0.00002585785,0.0003077739,0.000005096371,0.0003391955,0.000008552027,0.00005342431,1.037401e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263226,"about_ca_system_score_gemma":0.00001728799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004679669,"about_ca_topic_score_gemma":0.000002103867,"domain_scores_codex":[0.9992853,0.00001632252,0.0005340803,0.00001725512,0.00009522708,0.00005175464],"domain_scores_gemma":[0.9990643,0.0001762773,0.0004680837,0.00004718644,0.0002382867,0.000005888358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001479686,0.00007567681,0.1041861,0.002691177,0.001036954,3.647355e-8,0.02181226,0.1724568,0.004752141,0.5595796,0.04434634,0.08891507],"study_design_scores_gemma":[0.002453826,0.00007484544,0.03201215,0.0005911104,0.0001244613,0.000003761107,0.011099,0.1040362,0.003547546,0.005353316,0.8405468,0.0001570155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8101605,0.001910382,0.1595234,0.007946279,0.002386375,0.009393441,0.0002183113,0.00008759547,0.00837375],"genre_scores_gemma":[0.9994149,0.00003143483,0.0002394017,0.00006289593,0.00002236491,0.00008821935,0.000003610818,0.000002584105,0.0001345507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7962005,"threshold_uncertainty_score":0.1013069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762777979157962,"score_gpt":0.2585108528628882,"score_spread":0.2408830730713085,"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."}}