{"id":"W3025817225","doi":"10.3138/jvme.2019-0066","title":"SODAPOP: A Metacognitive Mnemonic Framework to Teach Antimicrobial Selection","year":2020,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mnemonic; Metacognition; Selection (genetic algorithm); Curriculum; Medical education; Perception; Psychology; Medicine; Computer science; Pedagogy; Cognition; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743661,0.0007593879,0.0003701863,0.001406505,0.0007678761,0.001866257,0.001838595,0.00101153,0.00789281],"category_scores_gemma":[0.004960646,0.0002424704,0.0005043186,0.0005366381,0.0009623882,0.001721706,0.002712037,0.002654392,0.002157314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486852,"about_ca_system_score_gemma":0.004946291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019306,"about_ca_topic_score_gemma":0.003241716,"domain_scores_codex":[0.9990414,0.00036806,0.00005617651,0.0001200421,0.0002989831,0.0001153977],"domain_scores_gemma":[0.9974474,0.001049615,0.0002078934,0.0001449571,0.0003604731,0.0007897288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003148637,0.005683144,0.008311805,0.001860616,0.00004719487,0.0005027043,0.008226067,0.003232157,0.01176753,0.04060475,0.06293628,0.8565128],"study_design_scores_gemma":[0.000806576,0.004465696,0.03100464,0.005100003,0.0002055162,0.003489453,0.008135841,0.02876007,0.02009337,0.1528587,0.7447955,0.0002846126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1806314,0.00622239,0.5992895,0.02316427,0.002062071,0.005352068,0.001171579,0.008368382,0.1737383],"genre_scores_gemma":[0.321074,0.004923643,0.6371875,0.004115431,0.0002867006,0.003976425,0.0007399624,0.0002372457,0.02745913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00789281,"threshold_uncertainty_score":0.02640408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07521752899878924,"score_gpt":0.4227602660737993,"score_spread":0.34754273707501,"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."}}