{"id":"W3092399693","doi":"10.1177/2379298120960486","title":"Job Offer Negotiations: Helping Students Negotiate Their Job Offers","year":2020,"lang":"en","type":"article","venue":"Management Teaching Review","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Negotiation; Extant taxon; Value (mathematics); Public relations; Psychology; Sample (material); Process (computing); Job analysis; Job shadow; Knowledge management; Political science; Social psychology; Job attitude; Job performance; Computer science; Job satisfaction","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":[0.005373407,0.0003078916,0.0003066211,0.0007316516,0.002526666,0.00310907,0.001034483,0.001346965,0.005295828],"category_scores_gemma":[0.01169613,0.0002583629,0.0001817268,0.0006592916,0.001121253,0.001929135,0.002488016,0.002283179,0.003261209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009931249,"about_ca_system_score_gemma":0.007469324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134777,"about_ca_topic_score_gemma":0.006142506,"domain_scores_codex":[0.9977151,0.001380337,0.0001052066,0.00007965499,0.0005368276,0.0001827779],"domain_scores_gemma":[0.9928064,0.003402405,0.001249047,0.0002041507,0.0008579474,0.001479993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009215262,0.002080015,0.005687555,0.001689898,0.00001408902,0.0004082966,0.04392496,0.0002554486,0.003372756,0.01209736,0.1235197,0.8068578],"study_design_scores_gemma":[0.0001358427,0.001128095,0.03423111,0.001990491,0.00006213842,0.001492806,0.08308212,0.0006800555,0.005385469,0.01035748,0.8613716,0.00008279701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5513196,0.04571003,0.05152433,0.07891224,0.005543765,0.001829324,0.000244025,0.00119455,0.2637222],"genre_scores_gemma":[0.8009943,0.0461835,0.07327612,0.008414962,0.001378638,0.00131164,0.0001916684,0.0001550344,0.06809423],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005373407,"threshold_uncertainty_score":0.02841759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222828286765111,"score_gpt":0.275349441176329,"score_spread":0.2431211583086779,"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."}}