{"id":"W4283464776","doi":"10.1002/wcms.1620","title":"Two decades of Martini: Better beads, broader scope","year":2022,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Computational Molecular Science","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":260,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Scope (computer science); Computer science; Popularity; Field (mathematics); Block (permutation group theory); Molecular dynamics; Computational model; Software; Monte Carlo method; Simulation; Chemistry; Computational chemistry; Mathematics","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":[0.0006662285,0.0001945149,0.0002623943,0.0001451314,0.0003847724,0.0000320944,0.0007857269,0.00002930738,0.0001581661],"category_scores_gemma":[0.00004309484,0.0001761434,0.0002014892,0.0005453473,0.000450839,0.00001868261,0.001839615,0.0001615301,0.00001342373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004682963,"about_ca_system_score_gemma":0.0002065479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003360414,"about_ca_topic_score_gemma":0.000001689045,"domain_scores_codex":[0.9979144,0.0001653105,0.0004902057,0.0005975468,0.0005475142,0.0002850013],"domain_scores_gemma":[0.9990834,0.0000120078,0.0002376941,0.0004217075,0.0001386277,0.000106591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002672583,0.00008486927,0.0005869521,0.00002710053,0.00001410356,0.000009813984,0.00009574582,0.00312975,0.9772737,0.0003945816,0.001793204,0.01656342],"study_design_scores_gemma":[0.0020228,0.002007816,0.006633179,0.0003234262,0.0001707259,0.0008418928,0.0003740978,0.002991465,0.9265499,0.002460666,0.0541888,0.0014352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877721,0.003927294,0.005580704,0.0004804307,0.0004965913,0.0005014343,0.00004196978,0.00001140847,0.001188077],"genre_scores_gemma":[0.9899414,0.00005155419,0.008646932,0.0008855056,0.0001272661,0.00009320296,0.0001581966,0.00001788199,0.00007802244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0523956,"threshold_uncertainty_score":0.7182919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473590137279752,"score_gpt":0.3251359289358087,"score_spread":0.3104000275630112,"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."}}