{"id":"W2143437919","doi":"10.5376/cmb.2014.04.0013","title":"In-silico analysis predicting the best model for photosystemIID2 Protein of Spinaciaolearacea using multiple templates","year":2014,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"In silico; UniProt; Template; Spinach; Computational biology; Protein structure prediction; Computer science; Chemistry; Bioinformatics; Protein structure; Biology; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005027819,0.001345821,0.001031871,0.0007269945,0.0008229762,0.001102843,0.00101239,0.001052018,0.003529999],"category_scores_gemma":[0.00122386,0.0005344832,0.001723622,0.0005577655,0.0001842069,0.0005703527,0.0003835319,0.0007336033,0.001025546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933856,"about_ca_system_score_gemma":0.001115028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00412783,"about_ca_topic_score_gemma":0.004871514,"domain_scores_codex":[0.9997552,0.00005486466,0.00001943027,0.00008317526,0.00005403854,0.00003338476],"domain_scores_gemma":[0.9996026,0.0002388029,0.00003535478,0.00002059046,0.00006175615,0.00004085213],"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":[0.00222889,0.000781667,0.02933934,0.001475329,0.0007649542,0.003822707,0.0004098945,0.7742243,0.1450201,0.004448826,0.006326492,0.03115748],"study_design_scores_gemma":[0.00009972715,0.0002110624,0.002328488,0.00003921203,0.0001531631,0.0003427711,0.000142439,0.9752371,0.01721757,0.001358252,0.002843154,0.0000270124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448667,0.001113422,0.04090006,0.0004635736,0.0000921111,0.0001232235,0.006101114,0.002745667,0.003594175],"genre_scores_gemma":[0.9065229,0.000977317,0.06797203,0.0001037414,0.00002382849,0.0002594316,0.02152473,0.000576515,0.002039509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00412783,"threshold_uncertainty_score":0.01180899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187321794491058,"score_gpt":0.3004691566742135,"score_spread":0.2817369772251077,"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."}}