{"id":"W3021074247","doi":"10.3991/ijai.v2i1.14481","title":"A Bibliometric Analysis of the Papers Published in the Journal of Artificial Intelligence in Education from 2015-2019","year":2020,"lang":"en","type":"article","venue":"International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Web of science; Field (mathematics); Library science; Political science; Bibliometrics; Computer science; MEDLINE; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.002396072,0.0001516383,0.0003982438,0.01168979,0.00007881257,0.0004120389,0.001762365,0.00008173937,0.00004455281],"category_scores_gemma":[0.004148485,0.0001056794,0.0003158993,0.02472908,0.0001065681,0.000502958,0.0000966217,0.0006746385,0.000001688748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009509043,"about_ca_system_score_gemma":0.001040551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853396,"about_ca_topic_score_gemma":0.00009969652,"domain_scores_codex":[0.9967753,0.0003079582,0.001670968,0.0002085902,0.0008633499,0.0001738746],"domain_scores_gemma":[0.995141,0.001008751,0.001823723,0.0002013493,0.001720594,0.000104553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001803459,0.001164709,0.0436038,0.00002200494,0.0005768139,0.000004715833,0.01280335,0.2547324,0.00121227,0.02840835,0.0004499053,0.6568413],"study_design_scores_gemma":[0.0001135557,0.0006120989,0.03240294,0.0003464352,0.0006287649,0.00003614296,0.02465009,0.8896645,0.002313088,0.04575028,0.003160141,0.0003220162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692893,0.0011932,0.2548193,0.04869215,0.002102105,0.00018623,0.00001271744,0.00000693152,0.00009431264],"genre_scores_gemma":[0.9946402,0.0004236873,0.004001497,0.0003800573,0.0005087486,0.000001585773,0.00000884423,0.000007857862,0.00002754249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6565193,"threshold_uncertainty_score":0.9995118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798284234909384,"score_gpt":0.3547201337327757,"score_spread":0.3167372913836818,"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."}}