{"id":"W2966011811","doi":"","title":"Are Altmetrics Effective in Transdisciplinary Research Fields? - Altmetric Coverage of Outputs in Educational Research.","year":2017,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Altmetrics; Computer science; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02163268,0.0001586267,0.0004006011,0.007442114,0.00112812,0.001143904,0.001546961,0.0002445253,0.0001495695],"category_scores_gemma":[0.04246566,0.0001373519,0.00008995935,0.007033473,0.0006964951,0.005973079,0.0005729729,0.000902737,0.0002702848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000908084,"about_ca_system_score_gemma":0.0006217089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004031228,"about_ca_topic_score_gemma":0.003303205,"domain_scores_codex":[0.9927433,0.001461756,0.001327451,0.00036074,0.003404527,0.0007022949],"domain_scores_gemma":[0.9890554,0.005324067,0.000726251,0.00098873,0.003751458,0.0001540992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00215951,0.0008821396,0.5752864,0.0006598487,0.00004277104,0.00005995998,0.07762436,0.003026681,0.0002364225,0.02314065,0.01098295,0.3058983],"study_design_scores_gemma":[0.0008361704,0.0004037411,0.8669953,0.000298412,0.000001273494,0.000005390505,0.0132894,0.003180329,0.0005510059,0.113712,0.0005889478,0.0001380882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468399,0.0002178423,0.001206434,0.001415326,0.0003484237,0.001326069,0.00006016303,0.000007879183,0.04857795],"genre_scores_gemma":[0.9987628,0.00004833357,0.0001378971,0.00001727064,0.00009900118,0.000292698,0.00002620372,0.00000867791,0.0006070652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3057602,"threshold_uncertainty_score":0.999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1899188411059195,"score_gpt":0.4676518739699754,"score_spread":0.2777330328640559,"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."}}