{"id":"W2472858944","doi":"10.1021/acs.biomac.6b00857","title":"Identification of Wet-Spinning and Post-Spin Stretching Methods Amenable to Recombinant Spider Aciniform Silk","year":2016,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Dalhousie University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Government of Canada; Dalhousie Medical Research Foundation","keywords":"SILK; Spider silk; Spinning; Polymer science; Materials science; Fiber; Spider; Synthetic fiber; Polymer chemistry; Chemistry; Chemical engineering; Composite material; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008829181,0.0001659253,0.0002399983,0.0001141891,0.0001604525,0.0001202075,0.0002470677,0.00006973607,0.0001053007],"category_scores_gemma":[0.0001715365,0.0001149148,0.00004795927,0.0001873572,0.0001250788,0.0001676367,0.0001406899,0.00001807977,0.0000884664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004144077,"about_ca_system_score_gemma":0.00003898235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002073065,"about_ca_topic_score_gemma":0.00001235855,"domain_scores_codex":[0.9984757,0.0001071251,0.0005456817,0.0004301892,0.000158339,0.0002830116],"domain_scores_gemma":[0.9989941,0.00009516573,0.0002694041,0.0003913731,0.0001332027,0.0001168103],"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":[0.00002235564,0.00005586696,0.00006449045,0.00003829629,0.00000683521,0.000001686753,0.0001333684,3.975928e-7,0.9779072,0.001978337,0.0001020694,0.0196891],"study_design_scores_gemma":[0.0002478733,0.0001328482,0.005087672,0.0001005571,0.00001711628,0.00001123745,0.0001202988,0.00001943894,0.9922056,0.001160562,0.0007106112,0.00018614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798561,0.0001123148,0.01787177,0.00134206,0.0002715496,0.0002958256,0.000119938,0.0000730055,0.00005749009],"genre_scores_gemma":[0.9708981,0.00001499735,0.02874044,0.00009201191,0.00003773192,0.00006515324,0.000007821668,0.00002098229,0.0001227569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01950296,"threshold_uncertainty_score":0.4686089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894039934213927,"score_gpt":0.3216959241035948,"score_spread":0.3027555247614555,"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."}}