{"id":"W284630062","doi":"10.1093/oxfordhb/9780199732579.013.0012","title":"Person–Environment Fit in the Selection Process","year":2012,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Selection (genetic algorithm); Perspective (graphical); Heuristic; Psychology; Process (computing); Perception; Management science; Social psychology; Knowledge management; Computer science; Engineering; Artificial intelligence","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":[0.00478427,0.0001836322,0.000294852,0.0008798711,0.001325253,0.003393826,0.0004418512,0.0008233849,0.01052051],"category_scores_gemma":[0.009616302,0.0001481681,0.0003210693,0.001152889,0.002032083,0.001308945,0.002311551,0.0008573034,0.001134017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007860887,"about_ca_system_score_gemma":0.001347351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114355,"about_ca_topic_score_gemma":0.001251085,"domain_scores_codex":[0.9946707,0.003579563,0.0001626473,0.0002508043,0.0009194168,0.0004168517],"domain_scores_gemma":[0.9950405,0.00315018,0.0005246928,0.0002118019,0.0004797681,0.0005931475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003778228,0.001038417,0.2834358,0.000421065,0.0001111858,0.002294807,0.043536,0.003613529,0.002211945,0.1996763,0.007173335,0.4561098],"study_design_scores_gemma":[0.00008416854,0.001073337,0.5613383,0.001055972,0.00007153496,0.003079485,0.07081564,0.01171649,0.002404677,0.2199198,0.1282748,0.0001657382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804935,0.003443124,0.03726571,0.006239786,0.0001831746,0.0002759705,0.0001153159,0.00009150521,0.1474503],"genre_scores_gemma":[0.9905559,0.0004930843,0.0034255,0.0002858169,0.00003557255,0.00006398241,0.00005165084,0.00001713561,0.00507128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01052051,"threshold_uncertainty_score":0.03519464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302784001102182,"score_gpt":0.1960040742189214,"score_spread":0.1657256741087031,"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."}}