{"id":"W2970982669","doi":"10.29024/joa.20","title":"The Relationship Between Institutional Factors, Citation and Altmetric Counts of Publications from Finnish Universities","year":2019,"lang":"en","type":"article","venue":"Journal of Altmetrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Citation; Library science; Regional science; Political science; Geography; Computer science","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"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.006608694,0.00006083401,0.0001819229,0.03290449,0.000226966,0.0005714733,0.0007998527,0.00007544743,0.0001344951],"category_scores_gemma":[0.04119432,0.00003700424,0.00008677676,0.09158565,0.000136524,0.0007025158,0.000116258,0.0002407661,0.00004905365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360346,"about_ca_system_score_gemma":0.0004997284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002869206,"about_ca_topic_score_gemma":0.000001647943,"domain_scores_codex":[0.99515,0.000123512,0.0005938914,0.0001323716,0.003863305,0.0001368893],"domain_scores_gemma":[0.9637991,0.03134804,0.0007933805,0.0002519094,0.003654999,0.0001526058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004662312,0.00001752223,0.9726643,0.000001655485,0.00001875404,3.423682e-7,0.00005682485,0.00001781409,0.000006236091,0.01045551,0.005131215,0.01162514],"study_design_scores_gemma":[0.000202775,0.00007706408,0.9521393,0.000004916422,0.00001063645,0.000001549692,0.000552282,0.0001630301,0.0000258136,0.009203531,0.03757909,0.00003999394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896718,0.001881156,0.003320347,0.0004906479,0.0005174347,0.00007073857,0.00008516606,0.000002838123,0.003959911],"genre_scores_gemma":[0.9972671,0.0002889088,0.0008233751,0.00001027672,0.00006336829,1.623806e-7,0.000007106206,0.000002979801,0.001536673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05868116,"threshold_uncertainty_score":0.9780567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6515934642078601,"score_gpt":0.536494169042329,"score_spread":0.1150992951655311,"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."}}