{"id":"W2784788111","doi":"10.1101/247502","title":"The effects of mechanical strain on mouse eye lens capsule and cellular microstructure","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Lens (geology); Materials science; Lens Fiber; Fiber; Microstructure; Strain (injury); Deformation (meteorology); Capsule; Microscopy; Eye lens; Optics; Biophysics; Biomedical engineering; Composite material; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002506889,0.0002984739,0.0001472215,0.0002916263,0.0001478352,0.0002954772,0.0001796415,0.0003283572,0.001519032],"category_scores_gemma":[0.0002166771,0.000196158,0.0002054926,0.0001510935,0.0004165005,0.000226608,0.000239553,0.0005178474,0.0001625556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186227,"about_ca_system_score_gemma":0.000184155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467228,"about_ca_topic_score_gemma":0.002237014,"domain_scores_codex":[0.9997988,0.00002839597,0.00001659211,0.00004153369,0.00006574082,0.00004893343],"domain_scores_gemma":[0.9996808,0.00007261638,0.00009133193,0.00004035859,0.00003586094,0.00007907595],"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":[0.000170187,0.0000349875,0.0004272501,0.00001581628,0.000004439443,0.00002082144,0.00001667676,0.000088168,0.9985869,0.0000533464,0.00001478159,0.0005667318],"study_design_scores_gemma":[0.00001544743,0.0004668969,0.01766492,0.000007121405,0.00001172105,0.00003629048,0.00005279478,0.0009884151,0.9802563,0.00005403163,0.0004395133,0.000006621068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980764,0.000391563,0.0006717714,0.00004449796,0.000010572,0.0000088491,0.0001873895,0.00001490542,0.0005939918],"genre_scores_gemma":[0.997084,0.0002617817,0.0009140379,0.00005427765,0.000005296449,0.00002449303,0.0001365852,0.00001529038,0.001504163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001519032,"threshold_uncertainty_score":0.005081654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005419470577859106,"score_gpt":0.2020061807744334,"score_spread":0.1965867101965743,"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."}}