{"id":"W6929697140","doi":"10.48660/24050083","title":"Restricted Boltzmann Machines (RBMs)","year":2024,"lang":"en","type":"other","venue":"PIRSA","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Boltzmann constant; Sequence (biology); Set (abstract data type); Term (time)","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":[0.001533023,0.001163226,0.001624319,0.0009620237,0.0004487793,0.001958536,0.001910609,0.001395051,0.01939606],"category_scores_gemma":[0.009890319,0.0005133467,0.001270501,0.001554443,0.0009188583,0.002114634,0.001682812,0.002536607,0.007250539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006840354,"about_ca_system_score_gemma":0.001265891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608836,"about_ca_topic_score_gemma":0.004411826,"domain_scores_codex":[0.9987857,0.0006072473,0.0000621376,0.0002996041,0.0001410271,0.0001043252],"domain_scores_gemma":[0.9969375,0.002052498,0.0001916272,0.0004188126,0.0002816794,0.000117981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003122058,0.0002078405,0.002498077,0.0006186573,0.0003391312,0.00009271075,0.0001049275,0.3815424,0.0008357028,0.2431601,0.0365124,0.3337758],"study_design_scores_gemma":[0.00003829231,0.00005145428,0.0003436499,0.00009021968,0.00004994283,0.0000743704,0.00002405772,0.6974033,0.0006320697,0.2883824,0.01288188,0.00002839603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009215894,0.004675734,0.9574159,0.002043802,0.0005614859,0.00007672946,0.001748858,0.002788123,0.02147346],"genre_scores_gemma":[0.4692808,0.007444608,0.4583709,0.00196082,0.001464011,0.0006522868,0.003907997,0.001242057,0.05567658],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01939606,"threshold_uncertainty_score":0.06488633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292724951061165,"score_gpt":0.2596622339715341,"score_spread":0.2467349844609225,"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."}}