{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134917,0.0003976515,0.0001383858,0.000131984,0.0001088961,0.0002386423,0.0002248398,0.000371286,0.0009207398],"category_scores_gemma":[0.0001331546,0.0001363467,0.0002235954,0.0001332158,0.0001869244,0.0001359062,0.0002278568,0.0004552297,0.0005642365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255111,"about_ca_system_score_gemma":0.0001787246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004777363,"about_ca_topic_score_gemma":0.00081101,"domain_scores_codex":[0.9998083,0.00003595857,0.00001955983,0.00004080236,0.00006123956,0.00003421901],"domain_scores_gemma":[0.9997825,0.00003240362,0.00007756082,0.00004081236,0.00003005265,0.00003665692],"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":[0.000008421232,0.000004260934,0.00002727285,0.000008946889,0.000001261938,0.00001679048,0.000002885433,0.00001756862,0.9996595,0.000034676,0.00001180315,0.0002064657],"study_design_scores_gemma":[0.000003858605,0.0000609183,0.0004538197,0.000003199342,0.000006816221,0.0001679945,0.000004867164,0.0003640196,0.9955816,0.00001273031,0.003336716,0.000003494777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522504,0.001379411,0.04137041,0.0002110708,0.0002189594,0.0002097993,0.0009040757,0.0002252037,0.003230642],"genre_scores_gemma":[0.9585974,0.0008870052,0.03302445,0.0001196827,0.00003134314,0.0001012502,0.001151288,0.00007652171,0.006011181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009207398,"threshold_uncertainty_score":0.003080189,"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."}}