{"id":"W2913986028","doi":"10.22230/src.2019v10n1a339","title":"Special Issue: Altmetrics","year":2019,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Altmetrics; Computer science; World Wide Web; Internet privacy; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005995116,0.00297486,0.003631738,0.01303141,0.002413001,0.01077185,0.003724859,0.004400297,0.3726209],"category_scores_gemma":[0.02911742,0.001072214,0.001733876,0.0100135,0.001630296,0.007011586,0.003856083,0.004573265,0.2733085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527681,"about_ca_system_score_gemma":0.003355591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133007,"about_ca_topic_score_gemma":0.002017899,"domain_scores_codex":[0.9951456,0.0007670277,0.0005867073,0.0007542681,0.002446011,0.0003002323],"domain_scores_gemma":[0.9705452,0.00616621,0.002445259,0.003442914,0.01224546,0.005154826],"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":[0.00001464122,0.00001635899,0.00008236812,0.0001266894,0.000005622487,0.00001718248,0.000005147654,0.00003362645,0.00007485383,0.000515244,0.9882499,0.01085844],"study_design_scores_gemma":[0.00001274256,0.00003256955,0.0005223475,0.0001810656,0.000008146558,0.0001597591,0.00002075804,0.000269173,0.0001977702,0.001887365,0.9966949,0.00001344021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0009336316,0.01633211,0.01236831,0.04065732,0.771825,0.0007012372,0.01559067,0.007909089,0.1336826],"genre_scores_gemma":[0.005052435,0.01513444,0.005500129,0.0109273,0.5798618,0.0005771872,0.02443179,0.005450155,0.3530648],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9940049,"threshold_uncertainty_score":0.8948801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0897808304484677,"score_gpt":0.4134593375228257,"score_spread":0.323678507074358,"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."}}