{"id":"W2916932281","doi":"10.5334/kula.47","title":"Networking Social Scholarship…Again","year":2019,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Sociology; Context (archaeology); Professional association; Science communication; Engineering ethics; Social science; Epistemology; Public relations; Political science; History; Law; Science education; Engineering; Pedagogy","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","bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01157952,0.0001685071,0.0003306107,0.008315821,0.0006358099,0.001455711,0.0005477677,0.00012454,0.0002829368],"category_scores_gemma":[0.01723372,0.0001318355,0.00008695765,0.03023322,0.0001299305,0.001322305,0.000479187,0.0001876546,0.0003640151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108186,"about_ca_system_score_gemma":0.00005101012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003368271,"about_ca_topic_score_gemma":0.00001628516,"domain_scores_codex":[0.9954029,0.0003978416,0.0006571838,0.0006171918,0.002603791,0.000321122],"domain_scores_gemma":[0.9892176,0.005056832,0.0003076578,0.0003099345,0.004979792,0.0001281842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003837718,0.000117041,0.592592,0.00004725957,0.00006611524,5.818108e-7,0.01320891,0.00002027318,0.001294701,0.01256243,0.04632343,0.3337289],"study_design_scores_gemma":[0.0004496124,0.000045648,0.6897061,0.0000475714,0.00001269975,0.000001219574,0.003459965,0.00679821,0.0004535126,0.01375592,0.2850423,0.0002272945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710454,0.008228668,0.001021645,0.003299466,0.001128812,0.0005395327,0.000009537852,0.00007728205,0.1146497],"genre_scores_gemma":[0.908785,0.0006773571,0.0001329332,0.00006454015,0.0002962638,0.0000357396,0.00002715389,0.00001115202,0.08996988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3335016,"threshold_uncertainty_score":0.9995809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6254603893258378,"score_gpt":0.6320421837582847,"score_spread":0.006581794432446886,"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."}}