{"id":"W2289576126","doi":"10.1073/pnas.1524109113","title":"Blocking rapid ice crystal growth through nonbasal plane adsorption of antifreeze proteins","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; FP7 People: Marie-Curie Actions; European Commission","keywords":"Antifreeze protein; Ice crystals; Antifreeze; Chemistry; Recrystallization (geology); Adsorption; Supercooling; Freezing point; Protein adsorption; Chemical engineering; Biochemistry; Organic chemistry; Geology; Thermodynamics; Meteorology","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":[0.0004234917,0.00007758322,0.0001185044,0.00002686559,0.0000976482,0.00000559516,0.0005966608,0.00006386573,0.0001464066],"category_scores_gemma":[0.0004004212,0.00003729136,0.00006434819,0.0004869955,0.001487315,0.0004587689,0.0002174671,0.00007189977,0.000004835451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002697278,"about_ca_system_score_gemma":0.000007454245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002370056,"about_ca_topic_score_gemma":1.164797e-7,"domain_scores_codex":[0.998484,0.000006249561,0.0002696974,0.0002198393,0.0008828828,0.0001373013],"domain_scores_gemma":[0.9994378,0.0001128789,0.0003535611,0.000007469049,0.00006203157,0.00002623372],"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":[0.00001493682,0.00006445649,0.004158053,0.00001546676,0.000003875527,1.345026e-9,0.00004592693,0.00001049013,0.9876111,0.007550917,0.0002584511,0.000266301],"study_design_scores_gemma":[0.0001118508,0.0000670775,0.0966026,0.00006436674,0.000004409058,0.000001638685,0.00002398177,0.00007363318,0.8280912,0.07483433,0.00006870385,0.00005620344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911962,0.00001410377,0.00001129137,0.002235871,0.000008161995,0.0001467151,0.00002922841,0.000008819905,0.006349599],"genre_scores_gemma":[0.9974599,0.0000210646,0.00228551,0.0001106097,0.00003788805,0.000007222922,1.502072e-7,0.000001837446,0.00007576287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1595199,"threshold_uncertainty_score":0.5480072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03801720957562292,"score_gpt":0.2607374394331975,"score_spread":0.2227202298575746,"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."}}