{"id":"W2952061840","doi":"10.1101/145136","title":"Genetically modified human type II collagen for N- and C-terminal covalent tagging","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"HT1080; Biochemistry; Procollagen peptidase; Extracellular matrix; Connective tissue; Transfection; Secretion; Type I collagen; Chemistry; Protein engineering; Cysteine; Biology; Molecular biology; Enzyme; Cell; Gene; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006291401,0.0004292658,0.0004927531,0.0001583053,0.001062246,0.0007568897,0.0005277045,0.0004224042,0.0002009979],"category_scores_gemma":[0.0002004972,0.0004774801,0.00009247426,0.0000944633,0.0001637093,0.0001858699,0.0006133438,0.0001825608,0.00003191255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600261,"about_ca_system_score_gemma":0.0004198299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614864,"about_ca_topic_score_gemma":0.000003501075,"domain_scores_codex":[0.9976717,0.00008201571,0.0005022108,0.0009563891,0.0003220644,0.0004656842],"domain_scores_gemma":[0.9974698,0.00003955291,0.0006137707,0.001033897,0.0005866506,0.0002563403],"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":[0.00007068731,0.00008014889,0.0001744603,0.0003439036,0.00002751058,0.00002064018,0.0000240988,0.00001795267,0.9983554,0.0006010171,0.0002785824,0.000005633014],"study_design_scores_gemma":[0.001137598,0.0002457855,0.05624691,0.000480579,0.0002526108,1.671588e-7,0.000003395651,0.002277278,0.9154546,0.0000151658,0.02265483,0.001231144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935636,0.000257465,0.00223142,0.0002634984,0.002026074,0.001080449,0.0003022701,0.0002471541,0.00002805351],"genre_scores_gemma":[0.995326,0.0001506764,0.003302902,0.0001725177,0.0006563952,0.0002172751,0.000001849952,0.00009084937,0.00008155384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08290083,"threshold_uncertainty_score":0.9997677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313251814015864,"score_gpt":0.2693701693224239,"score_spread":0.2380449879208374,"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."}}