{"id":"W2018158905","doi":"10.1007/s12122-003-1027-9","title":"How new lawyers use E-voice to drive firm compensation: The “greedy associates” phenomenon","year":2003,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Phenomenon; Negotiation; Collective bargaining; Representation (politics); Business; Compensation (psychology); Disinformation; Law and economics; Adversarial system; Public relations; Economics; Microeconomics; Law; Labour economics; Political science; Social psychology; Psychology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002209992,0.0001199894,0.0002173355,0.0002212605,0.0006952093,0.002008165,0.0007749218,0.00003994346,0.0008185919],"category_scores_gemma":[0.00104361,0.00007585887,0.00008709425,0.0002673535,0.0002806429,0.0008149036,0.00009281332,0.0007466695,0.0001070006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838469,"about_ca_system_score_gemma":0.0004859061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003675345,"about_ca_topic_score_gemma":0.002426019,"domain_scores_codex":[0.9973131,0.0008278356,0.0003203677,0.000117354,0.001054737,0.0003666265],"domain_scores_gemma":[0.9962447,0.001068675,0.0002510128,0.0004581753,0.001785868,0.0001915858],"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":[0.00008248922,0.0001808337,0.001358741,0.00001306157,0.0002370405,0.0000370761,0.116444,0.00005835989,0.0005223175,0.7535251,0.1262731,0.001267829],"study_design_scores_gemma":[0.0004848041,0.0002353918,0.002083532,0.00004892452,0.00002005706,0.00001073283,0.1031333,0.000004456012,0.0001761028,0.004984562,0.8887045,0.0001135947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7396823,0.002992563,0.00007331158,0.1238219,0.0007825447,0.0007340408,0.00006133044,0.00004031732,0.1318117],"genre_scores_gemma":[0.954343,0.0001873486,0.0004464195,0.0005241932,0.0007137077,0.000006512905,0.00000287207,0.00002354627,0.04375245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7624315,"threshold_uncertainty_score":0.9990278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2274203472374836,"score_gpt":0.3918906538141874,"score_spread":0.1644703065767039,"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."}}