{"id":"W2287531290","doi":"10.1007/s11192-016-1848-y","title":"The effect of holding a research chair on scientists’ productivity","year":2016,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Productivity; Novelty; Matching (statistics); Set (abstract data type); Field (mathematics); Computer science; Psychology; Statistics; Mathematics; Economics; Social psychology; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","sts"],"category_scores_codex":[0.316613,0.0002438632,0.0004775389,0.1990866,0.001941288,0.003301554,0.007366283,0.0001413917,0.0001149315],"category_scores_gemma":[0.545146,0.00009615324,0.0002883983,0.6657676,0.002767861,0.0008130836,0.002220599,0.0005210298,0.0008596813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005108209,"about_ca_system_score_gemma":0.0003504165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823019,"about_ca_topic_score_gemma":0.00000889988,"domain_scores_codex":[0.9428851,0.00243909,0.001103102,0.001922971,0.04950253,0.002147215],"domain_scores_gemma":[0.8820871,0.1012392,0.0005950801,0.003653727,0.0114562,0.0009686986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001083406,0.00012657,0.2115906,0.00001088265,0.00001286089,0.000005552972,0.00006717925,0.000009806328,0.01197759,0.004700612,0.02229887,0.7490911],"study_design_scores_gemma":[0.002231526,0.00540538,0.4698769,0.0001126435,0.000009143299,0.00001519774,0.000171282,0.0007468286,0.2789234,0.009931369,0.2320616,0.0005147954],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797401,0.0007242553,0.00131532,0.002966056,0.002789989,0.0008203877,0.00004222076,0.00003846534,0.01156324],"genre_scores_gemma":[0.9868195,0.000169139,0.0001040541,0.00001184064,0.0001608843,0.00003683575,3.864746e-7,0.00001758616,0.01267979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7485763,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7473508328001948,"score_gpt":0.6643655597955263,"score_spread":0.08298527300466851,"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."}}