{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002901142,0.0002766915,0.0002889486,0.0001936452,0.0002600294,0.001586957,0.001555432,0.0001650251,0.00005660139],"category_scores_gemma":[0.000291422,0.0003106588,0.0001312368,0.0004863033,0.0001185522,0.0003517784,0.004355369,0.0002911852,0.00002681186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006463061,"about_ca_system_score_gemma":0.0001032022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001284569,"about_ca_topic_score_gemma":0.0001657217,"domain_scores_codex":[0.9954116,0.002381026,0.0004746031,0.0009824983,0.000475693,0.0002746156],"domain_scores_gemma":[0.9956667,0.0002401909,0.0003713104,0.00231008,0.001248483,0.000163201],"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":[0.000001767398,0.0004792149,0.00201972,0.00044968,0.0001390143,0.00002716424,0.003209813,0.00003884099,0.0004312593,0.9227434,0.003739966,0.06672014],"study_design_scores_gemma":[0.002041234,0.0000010674,0.04164813,0.009019926,0.0002281049,0.00005686648,0.0005843022,0.782827,0.01691617,0.02206434,0.1222313,0.002381616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007931506,0.001284745,0.9606757,0.004874438,0.0002517418,0.0002381344,0.00001834875,0.0002663367,0.02445902],"genre_scores_gemma":[0.4086291,0.00439118,0.5432984,0.0008704875,0.00003769196,0.00009081887,0.001264774,0.00006580964,0.04135168],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9006791,"threshold_uncertainty_score":0.9999346,"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."}}