{"id":"W4399196316","doi":"10.5281/zenodo.10012083","title":"MEDICAL-ECONOMIC APPROACH TO MASS SCREENING FOR COLORECTAL CANCER IN THE WILAYA OF BEJAÏA","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Olivieri Foods","funders":"","keywords":"Colorectal cancer; Geography; Cancer; Environmental science; Medicine; Internal 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":[0.002649409,0.0004086876,0.0006747703,0.002734387,0.0003880965,0.001421864,0.0004554743,0.0005659404,0.00321197],"category_scores_gemma":[0.007641349,0.0002021747,0.001239691,0.001628975,0.0004557838,0.0004282742,0.0008263659,0.0005549769,0.00009210124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006759438,"about_ca_system_score_gemma":0.00342233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0243582,"about_ca_topic_score_gemma":0.01765573,"domain_scores_codex":[0.9976567,0.001638617,0.00008422818,0.00008785902,0.0002271246,0.0003054125],"domain_scores_gemma":[0.997031,0.001904739,0.0004530506,0.00003782476,0.0003716276,0.0002017049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01035506,0.007565631,0.6192675,0.003604454,0.003167444,0.003367053,0.001138838,0.1758571,0.001773086,0.0350586,0.004210249,0.134635],"study_design_scores_gemma":[0.0008439037,0.009440383,0.7510308,0.001425442,0.003112569,0.001603077,0.006111217,0.2025188,0.001702684,0.01034745,0.01172787,0.0001357204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813494,0.005262933,0.002497921,0.002467099,0.00008256164,0.0005929674,0.0007059716,0.00001006518,0.007031107],"genre_scores_gemma":[0.9971693,0.0008542174,0.0009136172,0.00009672123,0.000027547,0.0001409803,0.0001380253,0.00000141165,0.0006580551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0243582,"threshold_uncertainty_score":0.04904336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563727509060216,"score_gpt":0.278162901973464,"score_spread":0.2525256268828619,"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."}}