{"id":"W2338153978","doi":"10.82308/43227","title":"A bibliometric analysis of Quebec's PhD students' contribution to the advancement of knowledge","year":2010,"lang":"en","type":"article","venue":"Open MIND","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socialization; Workforce; Sociology; Population; Attribution; Medical education; Pedagogy; Psychology; Library science; Social science; Political science; Computer science; Medicine; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004249816,0.0002873101,0.0006500807,0.02789249,0.002272948,0.003972179,0.0008165925,0.0004808541,0.005095204],"category_scores_gemma":[0.03128454,0.0001563135,0.0003958952,0.05356185,0.0006023484,0.0009406763,0.001093673,0.0004094016,0.0008095472],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01732136,"about_ca_system_score_gemma":0.0194708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8048074,"about_ca_topic_score_gemma":0.8800917,"domain_scores_codex":[0.9962432,0.0005688184,0.000281513,0.0004078703,0.002242313,0.0002563411],"domain_scores_gemma":[0.9708461,0.007614097,0.002100373,0.0007955566,0.01749547,0.0011485],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000232454,0.00009233481,0.7137063,0.001397367,0.0005056139,0.0001985266,0.006515179,0.00279817,0.0013269,0.003831907,0.03070018,0.238695],"study_design_scores_gemma":[0.00001238813,0.00003478833,0.9516777,0.0002028184,0.0001623985,0.00007272331,0.004269793,0.006390803,0.000800227,0.0004006361,0.03593239,0.0000433834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8605872,0.006287582,0.00555959,0.003057514,0.0002072248,0.0004088977,0.03826621,0.0004406649,0.08518507],"genre_scores_gemma":[0.9685695,0.002180686,0.003930384,0.000131972,0.00008254926,0.0001686996,0.008922726,0.0000465635,0.01596683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9957502,"threshold_uncertainty_score":0.3926843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4546132627065855,"score_gpt":0.5998687920653639,"score_spread":0.1452555293587784,"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."}}