{"id":"W2274031028","doi":"","title":"MORE2. Remuneration Cross-Country Report (WP4) – Support for Continued Data Collection and Analysis Concerning Mobility Patterns and Career Paths of Researchers","year":2013,"lang":"en","type":"article","venue":"Monographien","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remuneration; Position (finance); China; Regional science; Complement (music); Political science; Geography; Business; Finance","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01395,0.001068204,0.0007488389,0.01476417,0.001191576,0.00190181,0.002752192,0.001432262,0.04403291],"category_scores_gemma":[0.0274077,0.001033532,0.0009248463,0.02042404,0.00026334,0.00175119,0.001996137,0.001335552,0.01883528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680494,"about_ca_system_score_gemma":0.005890242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048201,"about_ca_topic_score_gemma":0.05405039,"domain_scores_codex":[0.9928561,0.001867132,0.001325063,0.0003392335,0.002993587,0.0006188242],"domain_scores_gemma":[0.947501,0.01109343,0.005208207,0.006352084,0.02807222,0.001773026],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006170347,0.0003019609,0.02810334,0.001492867,0.0001542092,0.0005200427,0.001708086,0.0008687276,0.002292521,0.002832821,0.8703228,0.09078564],"study_design_scores_gemma":[0.00009559741,0.0001028157,0.2028275,0.0003643828,0.00005075513,0.0001140178,0.0007030714,0.0005453812,0.002922032,0.0004187802,0.7917886,0.0000669444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008747079,0.0005100545,0.002118929,0.002536824,0.0006471663,0.001166075,0.9548901,0.0008757779,0.02850795],"genre_scores_gemma":[0.03360846,0.001027936,0.01382366,0.0006136681,0.0002866509,0.003968223,0.8865911,0.0009718469,0.05910853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98605,"threshold_uncertainty_score":0.2084199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230591261134242,"score_gpt":0.3977753081406766,"score_spread":0.2747161820272523,"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."}}