{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007193423,0.001573745,0.0004840112,0.003304848,0.001614426,0.005401951,0.00213886,0.001730494,0.01270975],"category_scores_gemma":[0.04044464,0.0006549035,0.001458097,0.00211837,0.002716194,0.01078597,0.00399541,0.002925759,0.002128903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986517,"about_ca_system_score_gemma":0.001352514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006130496,"about_ca_topic_score_gemma":0.005279871,"domain_scores_codex":[0.9943967,0.003607743,0.0002671033,0.0008346324,0.0006986888,0.0001951615],"domain_scores_gemma":[0.9789094,0.01605133,0.001384764,0.002215953,0.00115533,0.0002831509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002019902,0.0002065885,0.01367333,0.0004768206,0.0001025769,0.0010839,0.06361528,0.03254278,0.001821814,0.6828314,0.01529993,0.1881435],"study_design_scores_gemma":[0.00005688921,0.0001069139,0.002809053,0.000455394,0.0000819636,0.000641069,0.01756311,0.3407025,0.002795605,0.5405388,0.09412408,0.0001245919],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02452531,0.0001609027,0.9584112,0.002642028,0.00009480857,0.0002089899,0.0006361869,0.001395063,0.01192548],"genre_scores_gemma":[0.5050283,0.0004962778,0.4847663,0.0005039488,0.0001119298,0.0007705984,0.001766506,0.0004242333,0.006131963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01270975,"threshold_uncertainty_score":0.04251838,"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."}}