{"id":"W1972524317","doi":"10.1145/2557500.2557524","title":"Towards facilitating user skill acquisition","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Visualization; Dreyfus model of skill acquisition; Set (abstract data type); Process (computing); Gaze; Eye tracking; Usability; Learning curve; Key (lock); Multimedia; Artificial intelligence","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":[0.000203965,0.00004749136,0.00005236837,0.00003931628,0.00005233061,0.0001367715,0.0002905102,0.00001845756,0.0001231739],"category_scores_gemma":[0.00006764688,0.00003957921,0.00002178977,0.0001678035,0.00001021458,0.0003894842,0.0001074861,0.00002310729,0.00029874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008253274,"about_ca_system_score_gemma":0.00001074614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000011656,"about_ca_topic_score_gemma":0.000002478265,"domain_scores_codex":[0.9994761,0.00003377296,0.0001011261,0.0001470082,0.0001423806,0.00009956046],"domain_scores_gemma":[0.9996001,0.00003312702,0.00002391166,0.0002435569,0.00005311862,0.00004624623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.063731e-7,0.00001751743,0.0002173567,0.000005142279,0.000002737229,3.4084e-7,0.0003240423,0.00007295717,0.0001167451,0.9421198,0.006636587,0.05048661],"study_design_scores_gemma":[0.0001948927,0.00004211735,0.002045366,0.000008342302,0.000002156978,0.000002094882,0.00008219655,0.9020065,0.00151177,0.008377526,0.08557391,0.0001531368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00167261,0.000002327671,0.9702895,0.0004698317,0.00008858344,0.00001999177,0.000001584293,0.0001524282,0.02730316],"genre_scores_gemma":[0.7980867,0.00000282126,0.1919102,0.004780564,0.00006318187,0.00000196886,0.00002380671,0.000004548302,0.005126185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9337422,"threshold_uncertainty_score":0.3839798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682427665750862,"score_gpt":0.2932972091584391,"score_spread":0.2764729325009305,"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."}}