{"id":"W4408051164","doi":"10.1016/j.ajpe.2025.101379","title":"Comparing Holistic and Mixed-Approach Rubrics for Academic Poster Quality","year":2025,"lang":"en","type":"article","venue":"American Journal of Pharmaceutical Education","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rubric; Quality (philosophy); Computer science; Multimethodology; Psychology; 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":[0.1217871,0.001452883,0.001481846,0.006844857,0.00161586,0.003820344,0.002539236,0.001001299,0.008314693],"category_scores_gemma":[0.318308,0.000674852,0.003651496,0.003943086,0.002008355,0.002880295,0.005701312,0.001448827,0.002190067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002265018,"about_ca_system_score_gemma":0.002836783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000652425,"about_ca_topic_score_gemma":0.001574755,"domain_scores_codex":[0.882632,0.06533249,0.01731172,0.004127462,0.02944354,0.001152807],"domain_scores_gemma":[0.6832923,0.1698373,0.0417527,0.02285259,0.07661053,0.005654584],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006523886,0.001571321,0.09052959,0.01016248,0.001121463,0.000232202,0.01057693,0.004566171,0.01199113,0.005988071,0.02459574,0.8321411],"study_design_scores_gemma":[0.004745071,0.02214128,0.6900497,0.01029964,0.002185703,0.00286029,0.01651629,0.08477006,0.03602045,0.02423433,0.1044253,0.001751845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641894,0.006328547,0.3463904,0.001777371,0.002808747,0.03557261,0.003093535,0.00399224,0.03584716],"genre_scores_gemma":[0.546113,0.001570474,0.4079066,0.0005880613,0.0005626314,0.03750577,0.001794653,0.0006560424,0.003302884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782129,"threshold_uncertainty_score":0.6440794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675687207409662,"score_gpt":0.4379385693967462,"score_spread":0.27036984865578,"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."}}