{"id":"W2136496323","doi":"10.1111/j.1467-8659.2008.01217.x","title":"Illustrative Hybrid Visualization and Exploration of Anatomical and Functional Brain Data","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Rendering (computer graphics); Volume rendering; CLARITY; Data visualization; Human–computer interaction; Artificial intelligence; Computer vision","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":[0.0003081564,0.0001750182,0.0002190078,0.000390095,0.0002425584,0.0001040869,0.0004639138,0.00007134832,0.000001432636],"category_scores_gemma":[0.00002111026,0.0001764365,0.00003704981,0.0005805169,0.000266087,0.001703089,0.001009704,0.000112636,4.119944e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007142441,"about_ca_system_score_gemma":0.00005779335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000132636,"about_ca_topic_score_gemma":0.000008183409,"domain_scores_codex":[0.9984804,0.00009841047,0.0003647687,0.0005778844,0.0002925656,0.0001859239],"domain_scores_gemma":[0.9987599,0.0001463699,0.0001715367,0.0006022927,0.0002190036,0.0001009036],"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":[0.000005624965,0.0000614836,0.003263331,0.00001787958,0.00002321694,0.000004893976,0.0003763877,0.000004637611,0.00003000428,0.9856947,0.006570357,0.003947487],"study_design_scores_gemma":[0.0003685215,0.0002132377,0.007765193,0.00002800032,0.000005536012,0.00009578783,0.00001429695,0.9363786,0.0007269527,0.0518965,0.002292565,0.0002147835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03617623,0.000180642,0.9624107,0.0006460861,0.0001887152,0.0001902766,0.00001725097,0.000174303,0.00001574102],"genre_scores_gemma":[0.9820559,0.0004714186,0.01643752,0.0007801562,0.0000721101,0.000007596183,0.0001550835,0.00001306925,0.000007152923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9459732,"threshold_uncertainty_score":0.7194874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07229765118405689,"score_gpt":0.3039222059597519,"score_spread":0.231624554775695,"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."}}