{"id":"W4255699106","doi":"10.1007/978-0-387-69321-7_6","title":"Computational Platforms","year":2007,"lang":"en","type":"book-chapter","venue":"Cancer treatment and research","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre; Ontario Institute for Cancer Research; IBM (Canada)","funders":"","keywords":"Computer science; Medicine","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":[0.0008055964,0.001160385,0.0006338596,0.001082935,0.0008497888,0.004386344,0.002625549,0.001101723,0.1543345],"category_scores_gemma":[0.003091258,0.0007142607,0.0008361712,0.001526618,0.0006881839,0.004631322,0.003378489,0.002126905,0.1026855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007233543,"about_ca_system_score_gemma":0.001264108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324202,"about_ca_topic_score_gemma":0.001599491,"domain_scores_codex":[0.9992644,0.0001037627,0.00004509297,0.0001763054,0.0003411581,0.00006914489],"domain_scores_gemma":[0.9990184,0.0002509956,0.00002664532,0.0004060187,0.0002053942,0.00009240448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006996163,0.00006472294,0.000166949,0.0003302984,0.00003082223,0.000120532,0.0001600097,0.006090703,0.003701671,0.3672711,0.3639375,0.2580558],"study_design_scores_gemma":[0.0000145439,0.000009925117,0.00008787956,0.00007527211,0.00001041899,0.0001043303,0.00003585592,0.009889399,0.002349326,0.09797139,0.8894364,0.00001526396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00248198,0.002068136,0.3879196,0.002633724,0.001587379,0.0003101203,0.004250891,0.01701109,0.5817371],"genre_scores_gemma":[0.03412278,0.005367569,0.3154173,0.00172294,0.0009005516,0.0008786729,0.01592994,0.006589928,0.6190704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1543345,"threshold_uncertainty_score":0.5163004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5989073131232868,"score_gpt":0.5497044330481381,"score_spread":0.04920288007514872,"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."}}