{"id":"W2059579166","doi":"10.1016/j.bbrc.2009.09.036","title":"Meta prediction of protein crystallization propensity","year":2009,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Structural genomics; Crystallization; Computer science; Complementarity (molecular biology); Selection (genetic algorithm); Protein crystallization; Isoelectric point; Genomics; Algorithm; Data mining; Mathematics; Protein structure; Artificial intelligence; Biology; Genome; Chemistry; Genetics","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":[0.0006011741,0.0005026655,0.0008009673,0.001905775,0.0003308459,0.0007225543,0.0006369927,0.0005820356,0.001835614],"category_scores_gemma":[0.001362109,0.0002967957,0.001413934,0.0008530834,0.0001834089,0.0006004302,0.0004122358,0.0005159506,0.0005451046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006670983,"about_ca_system_score_gemma":0.0004164611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908904,"about_ca_topic_score_gemma":0.003140023,"domain_scores_codex":[0.9997892,0.00006698543,0.00001206164,0.00006770913,0.00004041917,0.00002367706],"domain_scores_gemma":[0.9993654,0.0002996962,0.00008553357,0.0001188317,0.00008964413,0.00004099295],"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":[0.003137131,0.000504641,0.1187177,0.0003851147,0.00127338,0.0006870442,0.000101878,0.5779281,0.09581133,0.01182587,0.004522788,0.185105],"study_design_scores_gemma":[0.0000292746,0.00005344574,0.004312956,0.000006221216,0.00006721696,0.00005728786,0.000009400791,0.9856801,0.007187454,0.002310841,0.0002773209,0.000008508342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8118725,0.0007504411,0.1760809,0.0002066424,0.0000517164,0.00004393951,0.002792674,0.004102681,0.004098575],"genre_scores_gemma":[0.9795234,0.000085792,0.01844225,0.00002896711,0.00001683306,0.00002090499,0.001286676,0.0001255037,0.0004696262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001908904,"threshold_uncertainty_score":0.006140769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09085157125937662,"score_gpt":0.3398759375403985,"score_spread":0.2490243662810219,"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."}}