{"id":"W1805834402","doi":"10.1007/978-3-540-73007-1_124","title":"Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Classifier (UML); Artificial intelligence; Machine learning; Cluster analysis; Data mining; Knowledge extraction","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"],"consensus_categories":[],"category_scores_codex":[0.003322325,0.0007551655,0.0008149204,0.0016301,0.000695475,0.0009278415,0.003626084,0.0002599893,0.00004076416],"category_scores_gemma":[0.000343798,0.0007450674,0.0001788806,0.001033169,0.0009313166,0.001868172,0.001464597,0.0008479487,0.00001261676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007375144,"about_ca_system_score_gemma":0.001683467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002293176,"about_ca_topic_score_gemma":0.00005265928,"domain_scores_codex":[0.9925164,0.0001895235,0.001000683,0.002807476,0.002342865,0.001143043],"domain_scores_gemma":[0.9949036,0.00121578,0.0004166772,0.001696942,0.001273118,0.0004938997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003320604,0.0001429757,0.00002583335,0.0001361313,0.00002802983,0.00003128739,0.0005284896,0.4824291,0.0000408515,0.02320642,0.0001212647,0.4932764],"study_design_scores_gemma":[0.0006310903,0.0002561477,0.00006163182,0.0001988764,0.00001762229,0.00004766804,0.000001721583,0.9833901,0.000231947,0.01319328,0.001154567,0.0008153801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004958598,0.0005616814,0.9948082,0.0003948013,0.001419785,0.001482731,0.00019019,0.0002912862,0.0008017313],"genre_scores_gemma":[0.007577422,0.0001245633,0.9897533,0.0008384588,0.0008956719,0.00007964715,0.000440725,0.00007890418,0.0002113032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.500961,"threshold_uncertainty_score":0.9995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003301340051558,"score_gpt":0.3681599741856481,"score_spread":0.2678298401804923,"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."}}