{"id":"W1644421060","doi":"10.1063/1.3183561","title":"Protein designs in HP models","year":2009,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Square lattice; Protein structure prediction; Protein design; Monomer; Polar; Lattice protein; Protein folding; Cysteine; Hexagonal crystal system; Protein structure; Inverse; Statistical potential; Computer science; Amino acid; Chemistry; Crystallography; Physics; Geometry; Mathematics; Statistical physics; Biochemistry; Polymer","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":[0.000681174,0.0004802105,0.0005124992,0.0006486576,0.0005453993,0.001223314,0.0008070074,0.0007574943,0.04614489],"category_scores_gemma":[0.002435165,0.0004043225,0.0006365888,0.0006501903,0.0005194346,0.001750225,0.001075429,0.0008281305,0.01155135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005345321,"about_ca_system_score_gemma":0.0005998582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006354583,"about_ca_topic_score_gemma":0.0008258031,"domain_scores_codex":[0.9996253,0.0001558247,0.00001404268,0.00004483751,0.000129698,0.00003028648],"domain_scores_gemma":[0.9995352,0.0002077984,0.00003537107,0.00009796237,0.00007688972,0.00004679707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001088439,0.00006647522,0.0005091383,0.0004239107,0.00004639116,0.0001862723,0.0001265824,0.1112548,0.003130266,0.7538552,0.05483158,0.07546044],"study_design_scores_gemma":[0.00006503581,0.00008748388,0.0001799519,0.0000748011,0.00002211804,0.0001320885,0.00007462054,0.2622241,0.002604958,0.5835959,0.1509133,0.00002565025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02385294,0.002471257,0.7203333,0.00359301,0.0006084553,0.0001857075,0.00282276,0.003811814,0.2423209],"genre_scores_gemma":[0.4563286,0.005460084,0.3962858,0.0009978852,0.0005336672,0.001236892,0.005082592,0.002535373,0.1315391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04614489,"threshold_uncertainty_score":0.15437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209901245749096,"score_gpt":0.2491949935709456,"score_spread":0.2270959811134547,"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."}}