{"id":"W2610656618","doi":"10.5465/ambpp.2016.16915abstract","title":"Investigating Job Search Clarity: A Motivational and Self-Regulatory Perspective","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"CLARITY; Perspective (graphical); Psychology; Job attitude; Job performance; Job satisfaction; Social psychology; Computer science; Artificial intelligence; Biology","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":[0.003905847,0.0002890658,0.0002990647,0.001232729,0.0007692626,0.002131753,0.0003432172,0.0007104415,0.001499199],"category_scores_gemma":[0.01158328,0.0002254591,0.0003906519,0.0006985635,0.001558879,0.0007674525,0.001270355,0.001217882,0.0001281832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006335005,"about_ca_system_score_gemma":0.001144599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250349,"about_ca_topic_score_gemma":0.001518047,"domain_scores_codex":[0.998489,0.0008669761,0.00005566768,0.0001147305,0.0002947335,0.0001788594],"domain_scores_gemma":[0.9843802,0.008854772,0.003849961,0.0007458833,0.0006844117,0.001484788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004227019,0.002628611,0.9171947,0.000225619,0.0002383029,0.0001635766,0.01437808,0.002168021,0.006494586,0.02331843,0.0003176196,0.03244965],"study_design_scores_gemma":[0.00003489538,0.0004940159,0.9782549,0.00007445001,0.00007406724,0.00008380361,0.00494876,0.004212987,0.001240716,0.009576987,0.000970398,0.00003400651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921824,0.000245817,0.001836269,0.000588904,0.000006723221,0.00002127849,0.00002046258,0.000004533572,0.005093475],"genre_scores_gemma":[0.9991321,0.00006165737,0.0005038372,0.0000759496,0.000009398134,0.00001567986,0.00001463801,0.000001731483,0.0001849445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003905847,"threshold_uncertainty_score":0.02065635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175364614058672,"score_gpt":0.2504542932413137,"score_spread":0.218700647100727,"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."}}