{"id":"W2085670292","doi":"10.1145/2567574.2567612","title":"Explaining predictive models to learning specialists using personas","year":2014,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Persona; Computer science; Bridge (graph theory); Narrative; Artificial intelligence; Data science; Machine learning; Human–computer interaction; Linguistics","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":[0.0003810046,0.0001181849,0.000148706,0.0001253477,0.0002238835,0.0001884652,0.0004165224,0.00004326577,0.00001315181],"category_scores_gemma":[0.0001133088,0.0001106835,0.00005372884,0.0003226289,0.00001616805,0.0003903693,0.0002241274,0.0002101854,0.00005536891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004507052,"about_ca_system_score_gemma":0.00004029486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005946202,"about_ca_topic_score_gemma":0.000005502351,"domain_scores_codex":[0.9988399,0.00009711883,0.000145973,0.0003595509,0.0002669405,0.0002905343],"domain_scores_gemma":[0.9993809,0.00009019925,0.00005262715,0.0002443352,0.00008081856,0.0001511116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004382086,0.0000235982,0.0008989073,0.000005362085,0.00001438736,0.000005385964,0.00656553,0.8545405,0.0005694028,0.1219597,0.0002328874,0.01517998],"study_design_scores_gemma":[0.0001058053,0.0001053305,0.0001261911,0.0000278262,0.000004421856,0.000006504817,0.0004177557,0.9939553,0.00007239405,0.0029163,0.002109554,0.0001525812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05486077,0.000006492932,0.9233254,0.0009697971,0.0001446404,0.00004119139,2.210909e-7,0.0002792435,0.0203723],"genre_scores_gemma":[0.8414909,0.000001037104,0.1561809,0.0003780312,0.0003418485,0.000001116374,8.181811e-7,0.00001047172,0.00159486],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7866302,"threshold_uncertainty_score":0.4513541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039687726583858,"score_gpt":0.2792073622668911,"score_spread":0.2395196356830331,"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."}}