{"id":"W7104451277","doi":"10.71781/22963","title":"Analyse bibliométrique de la contribution des postdoctorants canadiens à l’avancement des connaissances","year":2014,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Doctoral Education Challenges and Solutions","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Face (sociological concept); Research methodology","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","metaresearch"],"domain":"incentives","study_design":"not_applicable","genre":"other","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004424623,0.0003889713,0.0008387631,0.01991903,0.002726125,0.004495103,0.000948568,0.0003870702,0.01028873],"category_scores_gemma":[0.02373363,0.0002958753,0.0005802518,0.0496683,0.000755452,0.0009890581,0.001317216,0.0004814386,0.001493596],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0297844,"about_ca_system_score_gemma":0.07136343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9398221,"about_ca_topic_score_gemma":0.9590262,"domain_scores_codex":[0.9946438,0.0005008979,0.0004282928,0.0004747995,0.003443292,0.000508965],"domain_scores_gemma":[0.9648436,0.005007977,0.003712948,0.001117629,0.02401776,0.00130005],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001519575,0.00005284114,0.7900852,0.002529477,0.0004401167,0.0002160472,0.01674706,0.0008883093,0.0007617483,0.003572877,0.02292187,0.1616326],"study_design_scores_gemma":[0.000006878059,0.00002722604,0.9416112,0.000362459,0.0001493213,0.00006485308,0.007941337,0.0002587726,0.0005504427,0.0001588221,0.04884034,0.00002827456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616776,0.01504397,0.002613935,0.004738442,0.0001470139,0.0004819216,0.1117056,0.0003774362,0.103214],"genre_scores_gemma":[0.9107362,0.01068477,0.00482351,0.000327099,0.00008018207,0.0003637428,0.02598014,0.00009250383,0.04691185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955754,"threshold_uncertainty_score":0.2161019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800284325531336,"score_gpt":0.3451215453848234,"score_spread":0.3071187021295101,"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."}}