{"id":"W2973196958","doi":"10.1128/jmbe.v20i2.1759","title":"Promoting Science Communication with Children’s Literature as a High-Impact Practice (HIP) Assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Microbiology and Biology Education","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Outreach; Constructive; Science communication; Relevance (law); Conversation; Computer science; Work (physics); Appreciative inquiry; Multimedia; Science education; Mathematics education; Pedagogy; Psychology; Engineering; Process (computing); Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.008592445,0.0006136359,0.0003661863,0.002633309,0.002206731,0.004276856,0.001355249,0.001135,0.005654227],"category_scores_gemma":[0.01975663,0.0003271527,0.0004132485,0.0009153734,0.001942179,0.00288038,0.008260946,0.001360254,0.001166002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253435,"about_ca_system_score_gemma":0.003759667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000677629,"about_ca_topic_score_gemma":0.002663343,"domain_scores_codex":[0.9916883,0.00437126,0.0004492177,0.0005202173,0.002363616,0.000607281],"domain_scores_gemma":[0.9843389,0.006136528,0.00171558,0.001305244,0.00325084,0.00325294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001362625,0.004402352,0.06629356,0.001505571,0.00003623199,0.002394222,0.148456,0.0007352367,0.01648275,0.01476424,0.01337991,0.7314138],"study_design_scores_gemma":[0.0001809844,0.004144295,0.1838009,0.003333546,0.000185235,0.01143169,0.224441,0.004344465,0.05986076,0.036834,0.4711498,0.000293273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8145065,0.000725991,0.04218865,0.005233957,0.0002237618,0.001744726,0.0001251696,0.0008943473,0.1343569],"genre_scores_gemma":[0.8839831,0.0008683038,0.098576,0.0004099449,0.00005800675,0.001326206,0.00009603114,0.00008093554,0.01460153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008592445,"threshold_uncertainty_score":0.04544175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898261025841316,"score_gpt":0.4224400670389602,"score_spread":0.4034574567805471,"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."}}