{"id":"W2271548616","doi":"10.1007/s11192-016-1852-2","title":"iSEER: an intelligent automatic computer system for scientific evaluation of researchers","year":2016,"lang":"en","type":"article","venue":"Scientometrics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Data science; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006184183,0.00174399,0.001906703,0.01511148,0.0006920145,0.003046317,0.0014165,0.001014039,0.02879242],"category_scores_gemma":[0.01773736,0.0005214235,0.000773242,0.005901872,0.0004195893,0.003438622,0.002666486,0.001000931,0.01779514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178206,"about_ca_system_score_gemma":0.001951061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683291,"about_ca_topic_score_gemma":0.002630029,"domain_scores_codex":[0.9952341,0.00118647,0.0006628122,0.0008389454,0.001854971,0.0002227324],"domain_scores_gemma":[0.9871618,0.005234987,0.001255237,0.001778872,0.003652486,0.0009164668],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002347403,0.0006961797,0.01720454,0.001044782,0.0004129592,0.000212401,0.0003817818,0.002861371,0.02777549,0.006755786,0.1951062,0.7452011],"study_design_scores_gemma":[0.001337897,0.00129428,0.05793712,0.0004290067,0.0007924478,0.0009920355,0.0004711892,0.4180248,0.1743388,0.03761135,0.3062362,0.0005348594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.04143976,0.001589232,0.4266152,0.0007994841,0.0007008569,0.001898164,0.02497391,0.480349,0.0216343],"genre_scores_gemma":[0.2676877,0.001102032,0.6303595,0.001183299,0.001019374,0.003521075,0.04522915,0.01131285,0.03858498],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9938158,"threshold_uncertainty_score":0.09632021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2172314981184653,"score_gpt":0.4234616161439353,"score_spread":0.20623011802547,"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."}}