{"id":"W1990084736","doi":"10.1139/p03-015","title":"Three-dimensional simulation of ice growth in the presence of antifreeze proteins","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Antifreeze protein; Ice crystals; Antifreeze; Supercooling; Chemical physics; Molecular dynamics; Physics; Fish <Actinopterygii>; Crystal growth; Adsorption; Ice formation; Biophysics; Crystallography; Chemistry; Biology; Thermodynamics; Atmospheric sciences; Biochemistry; Physical chemistry; Meteorology; Computational chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003807427,0.0004416007,0.0007917649,0.000393573,0.0009651874,0.0007778703,0.001141012,0.001422079,0.002646729],"category_scores_gemma":[0.001358204,0.0004810063,0.0007634978,0.0005698101,0.001027601,0.0004172131,0.000636026,0.0009344631,0.0001974516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012153,"about_ca_system_score_gemma":0.001851267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03524007,"about_ca_topic_score_gemma":0.02052387,"domain_scores_codex":[0.9998541,0.00003601015,0.000005747482,0.00001634905,0.00004339219,0.00004440779],"domain_scores_gemma":[0.9992741,0.0004265907,0.00005740241,0.00003564676,0.00009346022,0.0001127784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006334073,0.00004693559,0.001047133,0.00001794409,0.00001972205,0.00006998174,0.00003759807,0.9952598,0.0009960235,0.001655114,0.0001762293,0.0006101776],"study_design_scores_gemma":[0.0000231556,0.00001749708,0.0003605398,0.000002648108,0.000003482317,0.00000653497,0.00001166426,0.9988594,0.0002322107,0.0002996445,0.0001786429,0.000004566933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950194,0.0002192225,0.02936966,0.0005025622,0.00009400556,0.0001172829,0.00100285,0.0002745552,0.01822591],"genre_scores_gemma":[0.9788716,0.0001720805,0.01733954,0.0001378772,0.00002242659,0.000233463,0.000747223,0.0001073353,0.002368361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03524007,"threshold_uncertainty_score":0.07006985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319903741375241,"score_gpt":0.2177203712895101,"score_spread":0.1945213338757577,"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."}}