{"id":"W6943892931","doi":"10.17613/t8999-0m368","title":"Scholarly Communication and Its Infrastructures (panel introduction)","year":2022,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scholarly communication; Information and Communications Technology; Key (lock); Context (archaeology); Information Dissemination","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.005705972,0.0001444269,0.0002459633,0.03453202,0.002219287,0.001549719,0.003290175,0.00007290965,0.001754008],"category_scores_gemma":[0.005749526,0.0001408387,0.00009028755,0.09657025,0.000207733,0.001889893,0.004394439,0.0008243275,0.0001574003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469536,"about_ca_system_score_gemma":0.0002352817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004546492,"about_ca_topic_score_gemma":0.002237488,"domain_scores_codex":[0.9953465,0.001073803,0.0003097275,0.0006121813,0.002280163,0.0003775926],"domain_scores_gemma":[0.9946785,0.00170331,0.0001732468,0.001053871,0.002050957,0.0003401278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001764465,0.000640913,0.2993579,0.00001568519,0.00007995833,0.00004947551,0.002449028,0.0002984191,0.002049546,0.2757699,0.2758435,0.1432693],"study_design_scores_gemma":[0.0004734764,0.0001041393,0.1911743,0.00000183573,0.000009521108,0.00002440807,0.0008939066,0.0006407987,0.00008882235,0.00342602,0.8030062,0.000156535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250312,0.003535062,0.0004331252,0.004679269,0.0005511711,0.000245063,0.00009640588,0.00006706246,0.06536166],"genre_scores_gemma":[0.9801692,0.0000194869,0.00008051848,0.000008811952,0.00007396327,0.000002259262,0.00002045517,0.000009371119,0.01961593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5271627,"threshold_uncertainty_score":0.9994867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3354484500528461,"score_gpt":0.4272444462727673,"score_spread":0.09179599621992118,"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."}}