{"id":"W2788742339","doi":"10.1039/c8sm00377g","title":"Polymorphism of stable collagen fibrils","year":2018,"lang":"en","type":"article","venue":"Soft Matter","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fibril; Collagen fibril; Twist; Polymorphism (computer science); Chemistry; Biophysics; Crystallography; Biology; Biochemistry; Geometry; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001152608,0.0000724163,0.0001087426,0.00004700136,0.00007109335,0.00004621023,0.0001037533,0.00004433129,0.04043955],"category_scores_gemma":[0.00001288707,0.00006762897,0.00002831662,0.0001206079,0.00007905315,0.0001905119,0.00004008058,0.00001448541,0.005529963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001849038,"about_ca_system_score_gemma":0.00003387749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004127995,"about_ca_topic_score_gemma":0.000009383597,"domain_scores_codex":[0.9993271,0.00002977282,0.0001860338,0.0001525019,0.000147889,0.000156699],"domain_scores_gemma":[0.9995447,0.00001977004,0.0001057286,0.0002041999,0.00008333071,0.00004222893],"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":[0.00002352757,0.00001835141,0.00159112,0.00001329349,0.000002398581,8.143896e-7,0.000298588,4.340055e-7,0.9772786,0.00003731817,0.02038909,0.000346397],"study_design_scores_gemma":[0.0001566934,0.00003820968,0.01877167,0.00001409372,0.000007558579,0.000008299911,0.00003654916,0.00003755007,0.930338,0.000121411,0.05037118,0.00009877016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875294,0.00001318188,0.001432105,0.0006868,0.000636478,0.000101431,0.00003111915,0.00004789107,0.00952161],"genre_scores_gemma":[0.9852777,0.000001294008,0.0004035902,0.001041177,0.0002443102,0.000005679436,0.000007629128,0.00001259002,0.01300603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04694065,"threshold_uncertainty_score":0.9952443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009972788458983,"score_gpt":0.2347215177385326,"score_spread":0.2246217898539428,"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."}}