{"id":"W2042738496","doi":"10.1021/bi027241z","title":"Identification of the Motifs and Amino Acids in Aggrecan G1 and G2 Domains Involved in Product Secretion","year":2003,"lang":"en","type":"article","venue":"Biochemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Secretion; Identification (biology); Aggrecan; Chemistry; Amino acid; Product (mathematics); Biochemistry; Computational biology; Biology; Medicine","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":[0.0001109327,0.0003543777,0.0002205771,0.0001706079,0.0001042771,0.0002202361,0.0001881044,0.0003559471,0.0003767221],"category_scores_gemma":[0.0001790143,0.0001212632,0.0002654041,0.0001591615,0.000143599,0.0001757002,0.0001668264,0.0003113452,0.0003633496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002541014,"about_ca_system_score_gemma":0.000237964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005804722,"about_ca_topic_score_gemma":0.0006241695,"domain_scores_codex":[0.9999276,0.00001469177,0.000007095197,0.00001683542,0.00001405888,0.00001958901],"domain_scores_gemma":[0.9998695,0.00002159043,0.00004968506,0.00001112419,0.00001501105,0.00003305178],"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":[0.0001247308,0.00001443193,0.0007765031,0.00003597506,0.000003769907,0.0001291513,0.00001543842,0.00007761502,0.9976857,0.00005332673,0.00001556166,0.001067641],"study_design_scores_gemma":[0.00003005411,0.0003050794,0.03615202,0.00001665139,0.00005064617,0.001784906,0.0000744711,0.002204051,0.9564999,0.0001281218,0.002742186,0.000011834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975253,0.0009511772,0.001024006,0.00004559344,0.000004970318,0.00001604453,0.0001438215,0.00001204351,0.0002770187],"genre_scores_gemma":[0.9922919,0.0007635724,0.004424719,0.0000775388,0.000009644049,0.00001954266,0.001211895,0.00001065592,0.001190446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005804722,"threshold_uncertainty_score":0.001843572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008564675935919105,"score_gpt":0.2472947707870295,"score_spread":0.2387300948511104,"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."}}