{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721376,0.00008989608,0.0000887178,0.0007659987,0.0005876672,0.0001187594,0.000763902,0.00005723601,0.0001132076],"category_scores_gemma":[0.00003440947,0.00009180218,0.00001465864,0.002756093,0.000500345,0.0006065619,0.0002046756,0.0001789148,0.00001126542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007448013,"about_ca_system_score_gemma":0.0004450321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.332505e-7,"about_ca_topic_score_gemma":2.954672e-7,"domain_scores_codex":[0.9991304,0.000003360683,0.0001555867,0.0002149019,0.0001765033,0.0003192486],"domain_scores_gemma":[0.9996114,0.00002729933,0.00002061847,0.0002378838,0.00003329052,0.00006948155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002248078,0.00005082805,0.0006917832,0.00008302896,0.00001533916,4.117264e-7,0.0009790462,0.0008854762,0.007838872,0.9059118,0.01112967,0.07241151],"study_design_scores_gemma":[0.0001645731,0.00005808402,0.001753402,0.00001202035,0.00000536138,0.00001649736,0.001323016,0.01541852,0.04270704,0.03861504,0.899604,0.0003224072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4373444,0.003134388,0.4464861,0.06440311,0.007438485,0.001695992,0.0001156536,0.01695816,0.02242365],"genre_scores_gemma":[0.9733781,0.000008220733,0.02471499,0.00006896493,0.00002643467,0.0007671274,0.00001988518,0.00001528169,0.001001008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8884743,"threshold_uncertainty_score":0.451992,"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."}}