{"id":"W4212870265","doi":"10.1007/s11192-022-04285-x","title":"Size of science team at university and internal co-publications: science policy implications","year":2022,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Science policy; Scientometrics; Sociology; Political science; Library science; Computer science; Public administration","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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"],"consensus_categories":[],"category_scores_codex":[0.01425422,0.0003313345,0.001543897,0.004369616,0.002816676,0.01224579,0.001935478,0.00643466,0.02532786],"category_scores_gemma":[0.09175562,0.0004692551,0.001180725,0.008219258,0.00456819,0.008486117,0.003325826,0.004931167,0.001223849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009520646,"about_ca_system_score_gemma":0.01294195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047424,"about_ca_topic_score_gemma":0.02013092,"domain_scores_codex":[0.9866201,0.005171054,0.0007884161,0.001639994,0.002295734,0.003484813],"domain_scores_gemma":[0.7113181,0.205088,0.03159808,0.003852181,0.01268096,0.03546271],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002980657,0.001900977,0.4364028,0.0006345227,0.001185435,0.0007025321,0.002707595,0.01270764,0.001875755,0.4465622,0.03255119,0.05978875],"study_design_scores_gemma":[0.00117657,0.0007236024,0.5703732,0.000582564,0.0008914091,0.0003462113,0.01667945,0.01784339,0.005440699,0.3550901,0.03063392,0.0002187903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5685145,0.005340497,0.005337592,0.3410152,0.0008839276,0.0001292013,0.002320488,0.0002051608,0.07625348],"genre_scores_gemma":[0.9907079,0.0006450221,0.0003936806,0.003377164,0.0006807648,0.00005836569,0.0001787568,0.00002258858,0.003935802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9956304,"threshold_uncertainty_score":0.08473015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4464727771215093,"score_gpt":0.578309172696832,"score_spread":0.1318363955753227,"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."}}