{"id":"W2801549805","doi":"10.21873/cgp.20079","title":"The Contribution of MMP-7 Genotypes to Colorectal Cancer Susceptibility in Taiwan","year":2018,"lang":"en","type":"article","venue":"Cancer Genomics & Proteomics","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Defence Medical Centre","funders":"Taichung Veterans General Hospital; China Medical University; China Medical University Hospital; Central Taiwan University of Science and Technology","keywords":"Colorectal cancer; Genotype; Cancer; Oncology; Internal medicine; Medicine; Genetics; Cancer research; Biology; Gene","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":[0.0003694075,0.000257454,0.0002325943,0.0007105813,0.0002268627,0.0003990044,0.0002182935,0.000402814,0.001183062],"category_scores_gemma":[0.001406242,0.0002199783,0.0003726777,0.0006409657,0.0002255434,0.0001468498,0.0003335617,0.0003436054,0.0001379736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928651,"about_ca_system_score_gemma":0.000195215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003815607,"about_ca_topic_score_gemma":0.002471775,"domain_scores_codex":[0.9997084,0.00007764409,0.00004026586,0.00007938537,0.00004659643,0.00004765619],"domain_scores_gemma":[0.9989806,0.0002545629,0.0004007783,0.0001062006,0.0000925292,0.0001653964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003288758,0.00002542729,0.9952986,0.00001539165,0.00007923648,0.0003700113,0.0001086072,0.00005367819,0.001606325,0.0000183028,0.00004035037,0.002055356],"study_design_scores_gemma":[0.0000138233,0.0001197253,0.998404,0.000006898203,0.00006213423,0.0007150222,0.0001002621,0.0002383321,0.0001955928,0.00003827081,0.0001026139,0.000003433137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995762,0.0002040929,0.00005071487,0.00002265308,0.000002116504,0.00000269699,0.00004536809,0.000002563733,0.00009368268],"genre_scores_gemma":[0.9997483,0.00007292443,0.00005344518,0.000005765,0.000003873365,0.00000288679,0.00005772275,0.000001354847,0.00005368441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003815607,"threshold_uncertainty_score":0.007586837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00727570323651734,"score_gpt":0.2659021463267947,"score_spread":0.2586264430902774,"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."}}