{"id":"W3004245544","doi":"","title":"Leveraging the skills of social sciences and humanities graduates","year":2020,"lang":"en","type":"article","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Population; Digital humanities; Political science; Social science; Humanities; Library science; Public relations; Art; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002584967,0.0001757454,0.0002348407,0.001831888,0.004182053,0.005808318,0.001035764,0.0008040533,0.008803758],"category_scores_gemma":[0.006546673,0.0001233719,0.0002534713,0.001265029,0.002732717,0.001519855,0.006056644,0.001738379,0.001222863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008985186,"about_ca_system_score_gemma":0.05823531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2726263,"about_ca_topic_score_gemma":0.6655458,"domain_scores_codex":[0.9978178,0.000314563,0.0000299859,0.0001132842,0.0005817685,0.001142597],"domain_scores_gemma":[0.9900158,0.000690492,0.0003933729,0.000187705,0.000852044,0.007860499],"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":[0.0001176986,0.001170508,0.2220558,0.0003828972,0.00005538624,0.0007696262,0.02505156,0.000888379,0.00541369,0.04983056,0.03237854,0.6618854],"study_design_scores_gemma":[0.00005050013,0.0007376811,0.4984529,0.001115363,0.0000546347,0.0003489084,0.0782065,0.001295327,0.002046595,0.02748661,0.3901062,0.00009868331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7449288,0.002493669,0.001949951,0.05395728,0.000334963,0.000185882,0.0002818477,0.00008406201,0.1957836],"genre_scores_gemma":[0.9730416,0.001463245,0.001882727,0.00310133,0.0001013064,0.00003565616,0.00009805299,0.00001076832,0.02026532],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2726263,"threshold_uncertainty_score":0.5420789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3414431460713518,"score_gpt":0.4459946334136409,"score_spread":0.1045514873422891,"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."}}