{"id":"W2910736424","doi":"","title":"Mobile interpretive apps as educational mediating tools in science education: participant-based digital design in natural history and science museums","year":2018,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Inclusion (mineral); Museum education; Natural (archaeology); Variety (cybernetics); Pedagogy; Visual arts; Multimedia; Mathematics education; Sociology; Computer science; Psychology; Art; Social science; Geography; Archaeology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002711932,0.0000874293,0.0001465448,0.0006797473,0.001412466,0.00008171402,0.0003038064,0.0000713828,0.00005293749],"category_scores_gemma":[0.002915229,0.0001009043,0.00001434885,0.0008511583,0.002704944,0.001153397,0.0001661355,0.0007707175,0.00002721398],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348743,"about_ca_system_score_gemma":0.009599723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107294,"about_ca_topic_score_gemma":0.00007067656,"domain_scores_codex":[0.9979578,0.0003473652,0.0001957865,0.0004280749,0.000588684,0.0004823222],"domain_scores_gemma":[0.9971772,0.001447948,0.0001343778,0.0001617606,0.0008373157,0.0002414106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009003877,0.0009467478,0.5032009,0.0003533127,0.00001794519,0.00001256549,0.4322295,0.0001633287,0.02883133,0.002364638,0.001319901,0.02965935],"study_design_scores_gemma":[0.001573309,0.002908694,0.5478385,0.00300766,0.00001645169,0.0000128369,0.3897983,0.01183375,0.001042225,0.001178054,0.04008979,0.000700363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846494,0.0005185454,0.00004528437,0.0001308409,0.001032545,0.0003404292,8.469182e-7,0.00001820096,0.01326387],"genre_scores_gemma":[0.9961039,0.00002102126,0.00040301,0.00001493274,0.0002076799,0.000009153233,0.000003931866,0.000006668136,0.003229667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04463755,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408442966395766,"score_gpt":0.3785419529643435,"score_spread":0.3044575233003858,"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."}}