{"id":"W7084099795","doi":"10.64628/aam.g4hu4eek5","title":"How universities can really help PhD grads get jobs","year":2019,"lang":"en","type":"article","venue":"","topic":"Cyberloafing and Workplace Behavior","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Work (physics); Government (linguistics); Key (lock)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007916671,0.0005327828,0.0006606653,0.001339598,0.00765308,0.01303625,0.001789069,0.008113051,0.03865287],"category_scores_gemma":[0.03689802,0.0005097934,0.001266206,0.00100714,0.003463968,0.01006459,0.01026659,0.007460692,0.01305434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003402179,"about_ca_system_score_gemma":0.01386888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005533703,"about_ca_topic_score_gemma":0.01967393,"domain_scores_codex":[0.9925367,0.003054769,0.0002057454,0.0003555691,0.001331934,0.002515367],"domain_scores_gemma":[0.9496673,0.006346133,0.002170606,0.001970474,0.004143814,0.03570177],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003661111,0.004881793,0.09957191,0.0006604093,0.000247556,0.0004695012,0.01390191,0.0003615776,0.00134805,0.01011709,0.4848518,0.3832223],"study_design_scores_gemma":[0.0006369441,0.001955185,0.2256135,0.002363455,0.000476901,0.0008208971,0.189519,0.0007750337,0.00363939,0.062443,0.5112731,0.0004834332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2175863,0.005960598,0.002917977,0.6697598,0.01112433,0.0001426197,0.0003466464,0.0009212657,0.09124034],"genre_scores_gemma":[0.8188524,0.003583392,0.003916435,0.1161262,0.00266694,0.0001701452,0.0003365381,0.0002156286,0.05413231],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9920833,"threshold_uncertainty_score":0.1293067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184841055558135,"score_gpt":0.2609309393137962,"score_spread":0.2424468337579827,"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."}}