{"id":"W16354320","doi":"10.1016/s1557-9190(11)70388-2","title":"Meeting highlights from 2nd symposium on controversies and clinical challenges in myeloma, lymphoma and leukemia.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Weather prediction; Computer science; Occupancy; Weather forecasting; Numerical weather prediction; Model predictive control; Predictive modelling; Control (management); Meteorology; Database; Machine learning; Artificial intelligence; Engineering; Geography","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":[0.00335901,0.001515685,0.001305143,0.001790044,0.00116717,0.00293969,0.001639361,0.006413884,0.03983504],"category_scores_gemma":[0.004430386,0.0003934233,0.001377714,0.001174878,0.0008017512,0.002552335,0.002063287,0.005419542,0.01534595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801108,"about_ca_system_score_gemma":0.001701531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054895,"about_ca_topic_score_gemma":0.008231826,"domain_scores_codex":[0.999007,0.000224006,0.0001443151,0.0001968536,0.0002720385,0.0001558027],"domain_scores_gemma":[0.9967099,0.0006685511,0.0001745271,0.00008339568,0.001134395,0.001229234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001334092,0.00003417896,0.0002693341,0.0004791501,0.00001884976,0.0002337134,0.00004607104,0.00005878225,0.0002734315,0.0009923489,0.9264528,0.0710079],"study_design_scores_gemma":[0.00002169989,0.0000455137,0.0007970512,0.0003986425,0.00002491794,0.0004297154,0.00009252584,0.00003330851,0.00007714982,0.001011682,0.9970571,0.00001084528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00111245,0.3019274,0.001327542,0.33015,0.3375628,0.0001461802,0.00072032,0.0001265641,0.02692671],"genre_scores_gemma":[0.01041722,0.2425741,0.002389638,0.08832584,0.5141653,0.0002730707,0.00172839,0.0001788366,0.1399475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03983504,"threshold_uncertainty_score":0.1332614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829873961956593,"score_gpt":0.1997289606729814,"score_spread":0.1814302210534155,"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."}}