{"id":"W2219375931","doi":"","title":"Using Digital Imagery in Learning: A New Literacy","year":2006,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Artificial intelligence; Data 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002768193,0.0001498033,0.0001447612,0.0003742257,0.000279674,0.0001512213,0.0002814201,0.0003029699,0.0002318332],"category_scores_gemma":[0.0003237836,0.0001638476,0.0001257046,0.0003975124,0.00007974259,0.002462752,0.00005696165,0.0005691808,0.0001824595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006350951,"about_ca_system_score_gemma":0.001606415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003179992,"about_ca_topic_score_gemma":0.000008883657,"domain_scores_codex":[0.998627,0.00001919134,0.0006857093,0.000179811,0.0001894192,0.0002988914],"domain_scores_gemma":[0.9985155,0.00008987353,0.0004387783,0.0001531849,0.0007523642,0.00005030972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000764928,0.0006374186,0.4263205,0.000185236,0.00007410141,1.067805e-7,0.0268207,0.0004150318,0.000463493,0.1979824,0.1077787,0.2392458],"study_design_scores_gemma":[0.001138422,0.00004720163,0.008753505,0.0003019018,0.00001941154,0.000005827332,0.04820159,0.01176297,0.0001248361,0.07345049,0.8557727,0.0004211102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7251542,0.0001735046,0.1314161,0.01117738,0.003820837,0.001449042,0.00005467435,0.0007097577,0.1260445],"genre_scores_gemma":[0.9689961,0.00001507667,0.009527814,0.0003449772,0.0004572065,0.0002485999,0.000933911,0.00001479627,0.01946152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.747994,"threshold_uncertainty_score":0.6681511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05022183775905256,"score_gpt":0.4075732818960449,"score_spread":0.3573514441369924,"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."}}