{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119754,0.0004190685,0.0001418914,0.0002342073,0.0001393617,0.0002328795,0.0001660522,0.0002748301,0.0003852414],"category_scores_gemma":[0.0003330857,0.0001407436,0.0002290223,0.0001421236,0.0001990569,0.0002718751,0.0001552973,0.0003712109,0.0002179073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738817,"about_ca_system_score_gemma":0.0001871337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002821013,"about_ca_topic_score_gemma":0.0004876833,"domain_scores_codex":[0.9997965,0.00003361678,0.00002182982,0.00004213756,0.00007434632,0.00003166584],"domain_scores_gemma":[0.9997459,0.00005996961,0.0000952296,0.00003020694,0.00003479617,0.00003386606],"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":[0.000009766038,0.000009623362,0.0000704983,0.00001355563,0.000001127158,0.00001551417,0.000007066851,0.00002359095,0.9986395,0.00003255166,0.000004812459,0.001172449],"study_design_scores_gemma":[0.000001609891,0.00004196182,0.0008880983,0.000001329904,0.000002711294,0.00009016551,0.000004971585,0.0003459672,0.9981138,0.00001003477,0.0004971891,0.000002158892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.962783,0.001192126,0.03419222,0.00008613875,0.00001898785,0.0001747707,0.0001948736,0.0001560195,0.001201967],"genre_scores_gemma":[0.9435337,0.001560019,0.0520607,0.00005236032,0.00002522364,0.0001291272,0.0007070552,0.00006447583,0.001867367],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0004190685,"threshold_uncertainty_score":0.001649857,"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."}}