{"id":"W4385776364","doi":"10.5281/zenodo.8238404","title":"Summary of the March 14, 2023 Webinar, \"Digital Storytelling in the Global South\"","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"McDonald Institute for Archaeological Research; Michigan Technological University; Arts and Humanities Research Council; University of Cape Town; National Endowment for the Humanities","keywords":"Storytelling; Environmental science; Art; Literature; Narrative","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":[0.003886712,0.0006894713,0.0002591637,0.001960893,0.001251148,0.002918878,0.001151434,0.002309762,0.05889289],"category_scores_gemma":[0.00390723,0.0002465032,0.0003726432,0.001622033,0.0002565511,0.0009993764,0.001465658,0.001117316,0.03215647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002725449,"about_ca_system_score_gemma":0.0127412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07858322,"about_ca_topic_score_gemma":0.1007606,"domain_scores_codex":[0.9982748,0.0001318809,0.00006837362,0.00008509924,0.001172215,0.0002676428],"domain_scores_gemma":[0.9965713,0.0005154522,0.0001774612,0.0001422065,0.001764979,0.0008285413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000139532,0.00008881927,0.001283383,0.0003609013,0.00000432962,0.0001317346,0.0001547872,0.0002669937,0.0006658111,0.0009565985,0.9727105,0.02323654],"study_design_scores_gemma":[0.00001334188,0.00005442944,0.01220793,0.0001563946,0.000004979817,0.00004555325,0.0003087767,0.0001568043,0.001164417,0.0002122918,0.9856634,0.00001158865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01974781,0.007080914,0.004161878,0.02405276,0.01286967,0.004131564,0.3905371,0.00258059,0.5348377],"genre_scores_gemma":[0.02617027,0.004555123,0.002869111,0.004428775,0.001156083,0.002025376,0.1966454,0.0004676228,0.7616823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07858322,"threshold_uncertainty_score":0.1970164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660404728652898,"score_gpt":0.3820679075142889,"score_spread":0.2160274346489991,"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."}}