{"id":"W4392569509","doi":"10.61186/armaghanj.28.3.371","title":"Two Centers Affiliated to Shiraz University of Medical Sciences","year":2023,"lang":"en","type":"article","venue":"Armaghane Danesh","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medical education; Gerontology; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005939716,0.0007099616,0.0005696733,0.001096326,0.001571958,0.0008752942,0.0005006125,0.0008570065,0.03103991],"category_scores_gemma":[0.001150389,0.0003818941,0.0006008106,0.0009629044,0.0005586147,0.0005129312,0.001441401,0.0007031813,0.0033543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008193717,"about_ca_system_score_gemma":0.002382228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732367,"about_ca_topic_score_gemma":0.002468548,"domain_scores_codex":[0.9990409,0.000190511,0.00009919867,0.000287169,0.0001813866,0.0002007524],"domain_scores_gemma":[0.9988409,0.0001321297,0.0002635699,0.00008862473,0.0002169601,0.0004578754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007777153,0.008431712,0.6789917,0.002326345,0.0003425285,0.009349339,0.003532378,0.0003579749,0.01253397,0.001694172,0.02059527,0.2540675],"study_design_scores_gemma":[0.004182445,0.01073639,0.8829679,0.0006432049,0.0004418489,0.02518683,0.007689544,0.0009455708,0.005386655,0.001083054,0.06053562,0.0002008195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775908,0.003566029,0.001539469,0.002527925,0.0006874789,0.001141295,0.001927266,0.0002013579,0.01081828],"genre_scores_gemma":[0.9702724,0.002638465,0.003957785,0.002009645,0.0008341709,0.001208734,0.001965594,0.00002209905,0.01709118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03103991,"threshold_uncertainty_score":0.1038389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424038389964191,"score_gpt":0.3202499030644375,"score_spread":0.2760095191647956,"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."}}