{"id":"W2776730476","doi":"10.1186/s12859-017-1995-z","title":"fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization","year":2017,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Crystallization; Propensity score matching; Production (economics); Web server; Computational biology; Computer science; Biology; Chemistry; Mathematics; World Wide Web; Statistics; The Internet","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":[0.002392041,0.00502918,0.002060246,0.003486238,0.001003148,0.002334554,0.003940205,0.002219034,0.01605208],"category_scores_gemma":[0.00897091,0.001238034,0.002035774,0.003238808,0.0005533298,0.002775181,0.001985272,0.002908243,0.01711085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265661,"about_ca_system_score_gemma":0.002741725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005928531,"about_ca_topic_score_gemma":0.008289924,"domain_scores_codex":[0.9986553,0.0001394622,0.0001092547,0.0004050571,0.0005372787,0.0001535595],"domain_scores_gemma":[0.9967452,0.001557452,0.000376577,0.0004658101,0.0006025611,0.0002523741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001863472,0.0005425458,0.04229509,0.001889672,0.0006365034,0.0004934632,0.0001740556,0.03726907,0.008289358,0.003515873,0.8203669,0.08266395],"study_design_scores_gemma":[0.0005612267,0.0003854333,0.0184629,0.0002213075,0.0001738467,0.0007145374,0.00008713028,0.8267508,0.02958221,0.01176817,0.1109354,0.0003570366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.06388631,0.00368437,0.09293674,0.0009683738,0.0005859375,0.0003408892,0.2884043,0.5417789,0.007414184],"genre_scores_gemma":[0.2056047,0.002580565,0.1661498,0.001088504,0.0003163706,0.001693144,0.5930415,0.02310919,0.006416167],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.01605208,"threshold_uncertainty_score":0.05369949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032330235997882,"score_gpt":0.237012463490191,"score_spread":0.2066891611302122,"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."}}