{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001714829,0.00009067413,0.0001034255,0.0001108558,0.00007071251,0.00008882186,0.0005721747,0.00003632323,0.0001083547],"category_scores_gemma":[0.00007446355,0.00007745783,0.00005209427,0.0004341272,0.00003395543,0.0003903821,0.0001290525,0.00003348239,0.0001075057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001198631,"about_ca_system_score_gemma":0.00006898071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003950089,"about_ca_topic_score_gemma":0.0000192658,"domain_scores_codex":[0.9992262,0.00001533675,0.0001818277,0.000256739,0.0001330633,0.0001868602],"domain_scores_gemma":[0.9993599,0.00003096994,0.00005447056,0.0003115114,0.00009397531,0.0001491783],"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":[0.000003173659,0.0001504098,0.003319243,0.00001923956,0.00003650859,0.000003197949,0.0007453211,0.00001065513,0.0001335507,0.9683973,0.02011295,0.007068427],"study_design_scores_gemma":[0.0004699308,0.0001737326,0.001380015,0.00001039564,0.0000232791,0.000005017821,0.0001043384,0.9444705,0.008642483,0.01098747,0.0333939,0.0003389235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002544356,0.000006852018,0.9841895,0.0001804394,0.0001266893,0.00009488274,0.000002805722,0.0001896937,0.01266486],"genre_scores_gemma":[0.8315506,0.000004531178,0.1579369,0.005894821,0.00007835354,0.00001379609,0.0000218181,0.000015571,0.00448365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9574099,"threshold_uncertainty_score":0.3158638,"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."}}