{"id":"W4402218335","doi":"10.1016/j.cag.2024.104067","title":"Transferring transfer functions (TTF): A guided approach to transfer function optimization in volume visualization","year":2024,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transfer function; Visualization; Computer science; Volume (thermodynamics); Function (biology); Transfer (computing); Artificial intelligence; Physics; Thermodynamics; Biology; Parallel computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001615883,0.001740919,0.0009735011,0.001234484,0.000618213,0.001284506,0.00200459,0.001991193,0.003466957],"category_scores_gemma":[0.004398659,0.0007448923,0.001407275,0.0008964262,0.001364433,0.001631776,0.002122523,0.002564793,0.001210923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134116,"about_ca_system_score_gemma":0.001238853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004747385,"about_ca_topic_score_gemma":0.003950892,"domain_scores_codex":[0.9993487,0.0002231351,0.00002926906,0.0001217891,0.0002172322,0.00005985073],"domain_scores_gemma":[0.9988748,0.0006141333,0.00008869047,0.0001814859,0.0001903959,0.00005044922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001117445,0.0001150581,0.0005406525,0.0001488003,0.0001145877,0.0001466074,0.0003341195,0.6146683,0.02246093,0.02623937,0.004939679,0.3301801],"study_design_scores_gemma":[0.000008130507,0.00003266118,0.00006709191,0.000009199981,0.00000741708,0.00003383388,0.00001212474,0.9814485,0.003913719,0.01276003,0.001694587,0.00001272877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001746554,0.00004867659,0.9966799,0.00006255243,0.00001149705,0.00002291486,0.00001358481,0.0009369759,0.000477476],"genre_scores_gemma":[0.1350717,0.0002310376,0.8590595,0.000256853,0.00006845799,0.0002844509,0.0001620208,0.001565507,0.003300416],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004747385,"threshold_uncertainty_score":0.01159817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901051513223432,"score_gpt":0.2761641466421007,"score_spread":0.2471536315098664,"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."}}