{"id":"W2900029103","doi":"10.3791/58538","title":"Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering","year":2018,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates Bio Solutions","keywords":"Small-angle X-ray scattering; Radius of gyration; Macromolecule; Resolution (logic); Small-angle scattering; Globular protein; Scattering; Crystallography; Folding (DSP implementation); Intrinsically disordered proteins; Structural biology; Chemistry; Materials science; Biological system; Physics; Biophysics; Polymer; Computer science; Biology; Artificial intelligence; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005767959,0.0006663841,0.0005211671,0.000449977,0.0007679284,0.0006453986,0.0005461893,0.0005182731,0.001959871],"category_scores_gemma":[0.0004913754,0.0004145453,0.0004430655,0.0005089532,0.0004812796,0.0009159287,0.0004283058,0.00130134,0.001099696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055469,"about_ca_system_score_gemma":0.0005172951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009756953,"about_ca_topic_score_gemma":0.00173195,"domain_scores_codex":[0.9997754,0.00004268258,0.00001976341,0.00004999875,0.00009330676,0.00001882261],"domain_scores_gemma":[0.9997315,0.0001248078,0.00003212358,0.00005348901,0.00004002486,0.0000180161],"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":[0.00005042996,0.00006034825,0.0005888277,0.0003209091,0.00002662576,0.0001107404,0.0001694126,0.005856883,0.9654261,0.008763794,0.0005566186,0.01806935],"study_design_scores_gemma":[0.00002526602,0.0002372124,0.001274734,0.00006038065,0.00002273321,0.0002673646,0.000241813,0.04884561,0.9168207,0.007000847,0.025158,0.00004541712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3221741,0.006985746,0.6564746,0.0008336115,0.0002851071,0.0003896353,0.00199834,0.001719989,0.009138931],"genre_scores_gemma":[0.3846497,0.01929203,0.5832629,0.0001696641,0.00005128029,0.0005064465,0.003132395,0.0003194813,0.008616108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001959871,"threshold_uncertainty_score":0.006556392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08517649943324983,"score_gpt":0.4325638074425335,"score_spread":0.3473873080092837,"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."}}