{"id":"W4249037355","doi":"10.18438/b8vh0p","title":"Research Methods: Altmetrics","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Data Analysis with R","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Saskatchewan Museum; University of Saskatchewan","funders":"","keywords":"Altmetrics; Computer science; Data science; Information retrieval; Library 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.06398734,0.003015422,0.004734308,0.01743886,0.002356441,0.006144559,0.005915352,0.00273222,0.3057233],"category_scores_gemma":[0.4368804,0.002204909,0.004090668,0.03116738,0.00322231,0.004562331,0.005370568,0.006971998,0.0809066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002719745,"about_ca_system_score_gemma":0.01499026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510441,"about_ca_topic_score_gemma":0.003389236,"domain_scores_codex":[0.8802678,0.05765371,0.02900786,0.01044064,0.02106876,0.001561147],"domain_scores_gemma":[0.6836398,0.1736512,0.02902512,0.0578823,0.05317235,0.00262918],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001477223,0.0003588195,0.004848998,0.03755641,0.00192354,0.0001164844,0.0009881224,0.002223164,0.0006165655,0.03496262,0.522181,0.392747],"study_design_scores_gemma":[0.001279421,0.0007913338,0.01151863,0.01686031,0.002633933,0.0004168342,0.00106226,0.006253092,0.002470193,0.08219621,0.8741989,0.0003188906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006225559,0.01165492,0.508682,0.01168305,0.01296744,0.04220434,0.3181089,0.01502862,0.07344531],"genre_scores_gemma":[0.06229367,0.006583273,0.5520586,0.00428354,0.002475164,0.2500761,0.051003,0.0150704,0.05615623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9825611,"threshold_uncertainty_score":0.9903015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07128661875818629,"score_gpt":0.4048199981698353,"score_spread":0.3335333794116491,"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."}}