{"id":"W1120512601","doi":"10.1016/b978-012676757-5/50027-x","title":"Controlling the Freezing Process with Antifreeze Proteins","year":2005,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Antifreeze; Antifreeze protein; Process (computing); Chemistry; Computer science; Biochemistry; Organic chemistry; Programming language","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":[0.0001127394,0.0007117962,0.0003015142,0.0001924889,0.0001939215,0.0006749015,0.0006605907,0.0003226693,0.002927423],"category_scores_gemma":[0.00005878765,0.000215061,0.0002110824,0.0002548997,0.0003045024,0.0008414966,0.0002193688,0.0008859784,0.001602515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224021,"about_ca_system_score_gemma":0.0001098933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005075717,"about_ca_topic_score_gemma":0.0008408862,"domain_scores_codex":[0.9999613,0.000001755673,0.000001877122,0.00001281458,0.00001581257,0.000006447518],"domain_scores_gemma":[0.9999744,0.000007944213,0.000004997053,0.000003984796,0.000004236449,0.000004444048],"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":[0.00003975712,0.00003363544,0.00007714068,0.0001641022,0.000005412428,0.00005086749,0.00004475362,0.0005196749,0.9455767,0.004069768,0.001935313,0.04748292],"study_design_scores_gemma":[0.00001744426,0.00008430044,0.001185939,0.00004228113,0.00001951184,0.0002802045,0.00002377871,0.002473335,0.8576203,0.004047423,0.1341851,0.00002036007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4270639,0.1592178,0.2348779,0.002513133,0.002858711,0.0001983131,0.001082359,0.004888701,0.1672991],"genre_scores_gemma":[0.5042174,0.1003752,0.1175495,0.001316744,0.0005457603,0.0002579258,0.001644578,0.001278984,0.2728138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002927423,"threshold_uncertainty_score":0.009793222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389785853793232,"score_gpt":0.2119342826114779,"score_spread":0.1980364240735455,"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."}}