{"id":"W4280627455","doi":"10.1080/0194262x.2022.2067931","title":"Conference Rubric Development for STEM Librarians’ Publications","year":2022,"lang":"en","type":"article","venue":"Science & Technology Libraries","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Rubric; Flexibility (engineering); Computer science; Work (physics); Engineering ethics; Library science; Engineering management; Political science; Engineering; Psychology; Management; Mathematics education","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"],"consensus_categories":[],"category_scores_codex":[0.05685468,0.001814078,0.001526884,0.02555074,0.005106757,0.007731136,0.003851909,0.001684995,0.04572356],"category_scores_gemma":[0.23406,0.001389724,0.002046153,0.01512427,0.001628878,0.006083551,0.008273792,0.003721426,0.03647828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003542985,"about_ca_system_score_gemma":0.01115843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565096,"about_ca_topic_score_gemma":0.004325238,"domain_scores_codex":[0.9396101,0.02628276,0.01568963,0.002890889,0.01384059,0.001686043],"domain_scores_gemma":[0.6879119,0.07310665,0.01942293,0.02640031,0.1846447,0.008513506],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002462852,0.0003058581,0.002832846,0.005895608,0.00005904033,0.0003153306,0.008495417,0.001343788,0.00810451,0.01410954,0.419126,0.5391657],"study_design_scores_gemma":[0.00007480073,0.0001531348,0.004980575,0.001450545,0.00003686337,0.0004255415,0.002500681,0.003242015,0.006475508,0.006060015,0.9743964,0.0002039408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0270161,0.005040631,0.6718413,0.00921016,0.01021439,0.04462415,0.02471072,0.0580866,0.1492561],"genre_scores_gemma":[0.0324612,0.001862295,0.8455811,0.001903932,0.001349153,0.04149241,0.02388481,0.01170393,0.03976103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9431453,"threshold_uncertainty_score":0.3006799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270359136336954,"score_gpt":0.2082423585715039,"score_spread":0.1855387672081344,"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."}}