{"id":"W2159054917","doi":"10.1146/annurev-chembioeng-061312-103308","title":"Manipulating Crystallization with Molecular Additives","year":2014,"lang":"en","type":"review","venue":"Annual Review of Chemical and Biomolecular Engineering","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Division of Materials Research; Materials Research Science and Engineering Center, Harvard University; York University; National Science Foundation","keywords":"Crystallization; Nucleation; Crystal growth; Nanotechnology; Protein crystallization; Materials science; Crystal (programming language); Chemical physics; Crystal engineering; Chemistry; Crystallography; Crystal structure; Computer science; Organic chemistry; Supramolecular chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000241635,0.0003492742,0.001365985,0.00006181029,0.00002266601,0.00002285414,0.0001612919,0.0001153585,0.00005529403],"category_scores_gemma":[0.0002853379,0.0002476723,0.0002017185,0.0002719293,0.00008035941,0.00006170433,0.0001289258,0.000104763,0.000003824146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000221489,"about_ca_system_score_gemma":0.00003099536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001670806,"about_ca_topic_score_gemma":7.153835e-8,"domain_scores_codex":[0.9984734,0.00005730634,0.0006107665,0.0003791925,0.0002721489,0.0002071793],"domain_scores_gemma":[0.9991915,0.00008590671,0.000267982,0.0002278636,0.0001417833,0.00008493329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004236017,0.00005971615,3.806196e-7,0.7856708,0.0001815789,0.00003076397,0.00006032491,0.00001183821,0.05488478,0.001913462,0.0001528496,0.1570292],"study_design_scores_gemma":[0.00008551584,0.00004688258,1.33377e-7,0.1454419,0.0004582772,0.00004545467,0.000006823138,0.00005575625,0.004108473,0.000005187613,0.8493208,0.0004248162],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004533004,0.9819353,0.01738404,0.00001536488,0.00002668965,0.0003861056,0.00005984171,0.00005084792,0.00009651431],"genre_scores_gemma":[0.000217501,0.9975405,0.001898419,0.00006490203,0.00003377558,0.00004274657,0.0001541481,0.00003978337,0.000008224625],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8491679,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091440425351177,"score_gpt":0.2723690309737016,"score_spread":0.2614546267201899,"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."}}