{"id":"W2078900423","doi":"10.1002/bip.21723","title":"Liquid crystal models of biological materials and silk spinning","year":2011,"lang":"en","type":"review","venue":"Biopolymers","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Liquid crystal; Viscoelasticity; Rheology; Mesogen; SILK; Spinning; Soft matter; Chemistry; Rheometer; Polymer science; Biopolymer; Polymer; Mesoscopic physics; Materials science; Nanotechnology; Chemical physics; Liquid crystalline; Composite material; Polymer chemistry; Organic chemistry; Colloid; Physics; Condensed matter physics","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":[0.0003476345,0.00135562,0.001251949,0.00256936,0.0004239741,0.0007251453,0.001138599,0.001407977,0.002363224],"category_scores_gemma":[0.0004641436,0.0004097961,0.0004923745,0.002982031,0.0008928112,0.001528049,0.0005363456,0.001326169,0.002723713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00083322,"about_ca_system_score_gemma":0.000750986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545779,"about_ca_topic_score_gemma":0.001463902,"domain_scores_codex":[0.9997832,0.00004003744,0.00002123831,0.00003956816,0.0001026977,0.00001319688],"domain_scores_gemma":[0.9998258,0.0000827343,0.00002765106,0.00001080724,0.00004289408,0.00001020017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000462984,0.00009729483,0.0001844049,0.01294967,0.0000733757,0.0006205104,0.0001788308,0.006018149,0.01140831,0.09887627,0.04353501,0.8260118],"study_design_scores_gemma":[0.000007144739,0.00004313854,0.0002157486,0.001177838,0.00002483407,0.001231001,0.00002936422,0.001020129,0.002182257,0.01578374,0.9782617,0.00002305871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002790926,0.9921353,0.002235858,0.000196121,0.0003276106,0.000008740523,0.00002189237,0.00002022295,0.004775134],"genre_scores_gemma":[0.003636716,0.9896175,0.00217802,0.0001992899,0.0003065058,0.00003164781,0.00006238475,0.000006461687,0.003961427],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00256936,"threshold_uncertainty_score":0.007905781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09985542384789613,"score_gpt":0.3180760455564225,"score_spread":0.2182206217085264,"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."}}