{"id":"W2751853820","doi":"10.21083/partnership.v12i1.3906","title":"Research Impact Metrics: A Faculty Perspective","year":2017,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discipline; Library science; Perspective (graphical); Sociology; Psychology; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"evaluation","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"evaluation","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.07165586,0.001160919,0.001206079,0.01872319,0.005604918,0.0285291,0.002814636,0.004781887,0.005578293],"category_scores_gemma":[0.1240543,0.0006720354,0.0009040143,0.02436068,0.01454005,0.03018626,0.007991922,0.007782157,0.002173051],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01919604,"about_ca_system_score_gemma":0.02833295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008542554,"about_ca_topic_score_gemma":0.006019532,"domain_scores_codex":[0.8847392,0.07921763,0.006916208,0.003444916,0.02259622,0.003085764],"domain_scores_gemma":[0.7575797,0.1490706,0.01546738,0.007722335,0.05647325,0.01368658],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007360007,0.00025286,0.01815685,0.002480786,0.0001020472,0.0004522439,0.04324323,0.001172848,0.001077475,0.5928508,0.1009684,0.2391688],"study_design_scores_gemma":[0.00001660858,0.0003404866,0.00808891,0.003121436,0.00009037257,0.0005662648,0.06043909,0.001076478,0.002208122,0.1423561,0.7815787,0.0001175078],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02434206,0.05120273,0.03722023,0.665798,0.003377422,0.0002668563,0.0009946377,0.0007667362,0.2160314],"genre_scores_gemma":[0.7145788,0.1267782,0.04314572,0.06773299,0.01243742,0.0005940514,0.0008629569,0.001018234,0.03285163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812768,"threshold_uncertainty_score":0.378957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7298564952173201,"score_gpt":0.6544215829644491,"score_spread":0.07543491225287102,"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."}}