{"id":"W2769754133","doi":"10.1016/j.thromres.2017.11.016","title":"Variants in chondroitin sulfate metabolism genes in thrombotic storm","year":2017,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Weill Cornell Medical College; Hussman Foundation; Hospital for Special Surgery; Michigan State University; Hospital for Sick Children; College of Engineering, Michigan State University; University of Miami","keywords":"Chondroitin sulfate; Metabolism; Sulfate; Storm; Gene; Chemistry; Biochemistry; Glycosaminoglycan; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.003030011,0.0002492325,0.0004289805,0.0004898692,0.0004891865,0.0002872992,0.00164715,0.000311732,0.0001937824],"category_scores_gemma":[0.0008704247,0.0002392951,0.00009642304,0.0003682235,0.0006079875,0.0000370964,0.001052405,0.0007395273,0.0001232465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142853,"about_ca_system_score_gemma":0.0003893901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007608543,"about_ca_topic_score_gemma":0.01349442,"domain_scores_codex":[0.9960844,0.000517657,0.0003960081,0.0008450862,0.0008349015,0.00132194],"domain_scores_gemma":[0.9977114,0.00005548908,0.00008277422,0.001694654,0.0002396798,0.0002159833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002289463,0.0004164744,0.1128742,0.00006954314,0.00006263332,0.00008776884,0.0002065846,0.00003125015,0.8744179,0.0008503943,0.0008737372,0.009880593],"study_design_scores_gemma":[0.001725188,0.000191942,0.8798979,0.00006806737,0.000004092263,0.000006537982,0.0001548678,0.0002298196,0.111548,0.0007364076,0.00513516,0.0003020541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902491,0.001346612,0.00003752966,0.001021873,0.0001510248,0.0006867104,0.00003298513,0.0000095838,0.006464565],"genre_scores_gemma":[0.9950261,0.002962006,0.0003129744,0.0000353618,0.0002288427,0.0002078666,0.00003865354,0.00005129623,0.0011369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7670237,"threshold_uncertainty_score":0.9989999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035949673804483,"score_gpt":0.4143144406415056,"score_spread":0.3107194732610573,"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."}}