{"id":"W4287396300","doi":"","title":"Visualizer management and attention guidance","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","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":[0.001702948,0.001335017,0.0009048877,0.00214479,0.0009533537,0.005440287,0.001505941,0.002215998,0.02398457],"category_scores_gemma":[0.01240903,0.0006028409,0.0006560592,0.001256807,0.0006486857,0.003771344,0.003180379,0.001835429,0.006596471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009573929,"about_ca_system_score_gemma":0.001875122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008409534,"about_ca_topic_score_gemma":0.006506285,"domain_scores_codex":[0.9983431,0.0004591606,0.00007773856,0.0003717265,0.0005446055,0.0002036336],"domain_scores_gemma":[0.9959371,0.001435912,0.0002865412,0.0009602709,0.0009398803,0.0004404189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001106357,0.0002818116,0.003390927,0.0005393357,0.00007944981,0.0005404984,0.003797645,0.02473045,0.0495026,0.06731628,0.100718,0.7479967],"study_design_scores_gemma":[0.0002409916,0.0003794662,0.005010861,0.0003449584,0.0001251778,0.0006669093,0.001867656,0.5226011,0.08334117,0.1036483,0.2815771,0.0001965713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0336193,0.001484504,0.8465231,0.004604981,0.0005820445,0.0003293379,0.001730881,0.06345599,0.04766988],"genre_scores_gemma":[0.4922959,0.001359724,0.4505441,0.0009124242,0.0004573203,0.0004314426,0.002610562,0.005870765,0.04551761],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02398457,"threshold_uncertainty_score":0.08023643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751982940574703,"score_gpt":0.2678073595136513,"score_spread":0.2502875301079043,"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."}}