{"id":"W2080752813","doi":"10.1109/vast.2011.6102435","title":"Visual analytic roadblocks for novice investigators","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Visual analytics; Computer science; Visualization; Data science; Cognition; Coding (social sciences); Analytics; Data visualization; Human–computer interaction; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1439271,0.001317898,0.001089931,0.006120022,0.008641613,0.02076111,0.006376612,0.004344586,0.00502035],"category_scores_gemma":[0.3289953,0.001680521,0.001070869,0.002486262,0.02162448,0.02698038,0.01714734,0.01290611,0.001917754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005771996,"about_ca_system_score_gemma":0.01210529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319325,"about_ca_topic_score_gemma":0.002185423,"domain_scores_codex":[0.8537376,0.1122616,0.007535119,0.005655882,0.01812643,0.002683324],"domain_scores_gemma":[0.4737385,0.4161225,0.01601715,0.03846542,0.04608238,0.009574168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004872298,0.0006062433,0.01202169,0.00414667,0.00009468682,0.001611833,0.361584,0.00220429,0.005726174,0.2604484,0.02772628,0.3233426],"study_design_scores_gemma":[0.000143338,0.0003921181,0.003071239,0.003509577,0.00005638424,0.002338896,0.1929181,0.01256796,0.004749057,0.647337,0.1326571,0.0002592787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.160375,0.009258562,0.5943424,0.1976336,0.001294002,0.00178497,0.0001943938,0.002772471,0.03234464],"genre_scores_gemma":[0.5708141,0.004920942,0.4078277,0.008257198,0.0005189294,0.002184227,0.0002607761,0.000612912,0.004603153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1439271,"threshold_uncertainty_score":0.7611684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528054952958675,"score_gpt":0.3066845106245686,"score_spread":0.2538790153287011,"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."}}