{"id":"W2018764113","doi":"10.1529/biophysj.106.093435","title":"Structural Modeling of Snow Flea Antifreeze Protein","year":2006,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Polyproline helix; Antiparallel (mathematics); Antifreeze protein; Chemistry; Intramolecular force; Crystallography; Hydrogen bond; Circular dichroism; Intermolecular force; Protein secondary structure; Antifreeze; Stereochemistry; Protein structure; Helix (gastropod); Peptide; Molecule; Biochemistry; Biology; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003836014,0.00008700953,0.0001227102,0.000009637919,0.00009724386,0.00001677671,0.0001764529,0.00004087772,0.000367696],"category_scores_gemma":[0.00001814655,0.00005541056,0.0001068884,0.000129457,0.0001500021,0.0001082099,0.00007807989,0.0001587039,0.00006655778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002815308,"about_ca_system_score_gemma":0.000004842439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142297,"about_ca_topic_score_gemma":0.000002557086,"domain_scores_codex":[0.9992195,0.00002281459,0.0002087818,0.000128952,0.0002403861,0.000179517],"domain_scores_gemma":[0.9997479,0.00001383159,0.00007583228,0.00007406723,0.00001334627,0.00007496891],"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":[0.00001439916,0.00006984102,0.0001789565,0.000001531687,0.00000273797,0.000002418963,0.000004786538,0.005670795,0.9921693,0.0004051121,0.000113531,0.001366631],"study_design_scores_gemma":[0.0003715376,0.0001787529,0.02553625,0.00003131357,0.00001426932,0.00002771192,0.00001678685,0.1847142,0.7425141,0.0462497,0.00008477402,0.0002606186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973589,0.000003471959,0.001165147,0.0001560017,0.00002962643,0.00005469309,0.000005466598,0.00001210505,0.001214542],"genre_scores_gemma":[0.9979053,7.323804e-7,0.001730029,0.00002545042,0.0002202405,0.000001601821,0.000003956246,0.000003991597,0.0001086606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2496552,"threshold_uncertainty_score":0.4026014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791262225017273,"score_gpt":0.2196209270405182,"score_spread":0.2017083047903454,"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."}}