{"id":"W2809971035","doi":"10.3138/cjpe.42159","title":"Evaluating Academic Research Networks","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Charles-Le Moyne; Université de Montréal","funders":"","keywords":"Productivity; Position (finance); Institutional research; Curriculum; Knowledge management; Political science; Business; Public relations; Sociology; Computer science; Higher education; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.2937956,0.0001080242,0.0002435608,0.0542228,0.000815444,0.002395569,0.002494008,0.0002179973,0.002277564],"category_scores_gemma":[0.1838205,0.00007924805,0.0001336375,0.1157481,0.0006462249,0.0008133421,0.000110196,0.001171482,0.0003271445],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000794105,"about_ca_system_score_gemma":0.00760428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008187976,"about_ca_topic_score_gemma":0.00358414,"domain_scores_codex":[0.9770111,0.002449771,0.001260223,0.0004117942,0.01781584,0.001051237],"domain_scores_gemma":[0.9448,0.002959135,0.0005899289,0.0005033102,0.04952365,0.001623956],"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":[0.00001274197,0.00001499752,0.02301316,8.175188e-7,0.00001001781,0.000006735338,0.0002449949,0.0005092912,0.00008613408,0.0002315437,0.02017754,0.9556921],"study_design_scores_gemma":[0.001048318,0.003616387,0.1380011,0.00006766881,0.00003367286,0.00009098042,0.001069921,0.7103245,0.0002543412,0.04662713,0.09864572,0.0002202312],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765264,0.004512383,0.004599626,0.002414597,0.00268704,0.001464155,0.000004266578,0.00001007889,0.007781385],"genre_scores_gemma":[0.9940706,0.00003780643,0.004021965,0.00007447038,0.001402011,0.00002942978,0.000002099117,0.00001216786,0.0003493901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9554718,"threshold_uncertainty_score":0.9986401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9653113425368469,"score_gpt":0.7773576803100251,"score_spread":0.1879536622268219,"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."}}