{"id":"W4295079295","doi":"10.1002/ijc.34279","title":"Global colorectal cancer research, 2007‐2021: Outputs and funding","year":2022,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Cancer Research UK; Taiho Pharmaceutical; F. Hoffmann-La Roche; Medical Research Council; Sanofi; Merck KGaA; AstraZeneca; Pfizer","keywords":"Life expectancy; Latin Americans; Private sector; Government (linguistics); China; Colorectal cancer; Economic growth; Disease; Palliative care; Quality of life (healthcare); Medicine; Political science; Cancer; Environmental health; Population; Economics; Nursing; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.06563294,0.001958917,0.002290974,0.03109416,0.001119082,0.01129619,0.002173204,0.002397783,0.02938486],"category_scores_gemma":[0.1706692,0.0008041622,0.002914888,0.04786922,0.001084411,0.005700175,0.007320134,0.002541924,0.01934437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01118841,"about_ca_system_score_gemma":0.06134851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01336393,"about_ca_topic_score_gemma":0.006798191,"domain_scores_codex":[0.9483676,0.01788086,0.009064035,0.002063535,0.01883036,0.003793736],"domain_scores_gemma":[0.8483242,0.04088766,0.01819317,0.004648914,0.07472555,0.01322049],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00111002,0.0000842291,0.01047595,0.04956204,0.0007381225,0.0002293436,0.0006207446,0.0007251279,0.0004556497,0.01267212,0.5877185,0.3356081],"study_design_scores_gemma":[0.0002862475,0.0001851275,0.02708602,0.02209338,0.0006789977,0.0002897919,0.0009197603,0.0004096011,0.0008102495,0.003539539,0.943631,0.000070266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01184313,0.2103895,0.004639124,0.09072276,0.01903443,0.0028402,0.5385545,0.002108566,0.1198679],"genre_scores_gemma":[0.1143865,0.2910479,0.03235766,0.01429233,0.006700821,0.009165445,0.4871273,0.002681012,0.04224103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9689059,"threshold_uncertainty_score":0.3471043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920524490879654,"score_gpt":0.4110038071006284,"score_spread":0.3617985621918319,"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."}}