{"id":"W3097159753","doi":"10.7554/elife.60586","title":"Task specialization across research careers","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Department of Science and Technology, Ministry of Science and Technology, India; European Commission","keywords":"Archetype; Career path; Career Pathways; Task (project management); Career development; Psychology; Medical education; Management; Social psychology; Medicine","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01025008,0.0006014435,0.0006612681,0.006677481,0.001435334,0.003342597,0.0008445422,0.0009123364,0.008194798],"category_scores_gemma":[0.05398513,0.0004645926,0.0009355334,0.006545603,0.001011613,0.002500317,0.004093342,0.000963883,0.003225906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534447,"about_ca_system_score_gemma":0.00238539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004582998,"about_ca_topic_score_gemma":0.006221982,"domain_scores_codex":[0.9937246,0.001785933,0.0006448943,0.001591805,0.001240583,0.001012219],"domain_scores_gemma":[0.9583593,0.0190837,0.007360177,0.004412867,0.006237893,0.004546061],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001466145,0.0002569846,0.796718,0.001157942,0.0003118426,0.000492283,0.01001762,0.00690062,0.005364855,0.01044247,0.006304992,0.1605662],"study_design_scores_gemma":[0.00007873091,0.0002078967,0.9170643,0.0004483243,0.0001628843,0.0008880555,0.005283637,0.01815391,0.001828297,0.03303663,0.02276116,0.00008613796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483767,0.002543472,0.01894856,0.001022941,0.00009686156,0.0001511166,0.003937119,0.0002865934,0.02463667],"genre_scores_gemma":[0.984373,0.001001593,0.006061137,0.0001388405,0.00005800344,0.0001633302,0.003965954,0.0001094269,0.004128742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9933225,"threshold_uncertainty_score":0.05420822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9054869539191018,"score_gpt":0.7027200146581738,"score_spread":0.202766939260928,"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."}}