{"id":"W4309366447","doi":"10.46747/cfp.6811815","title":"Assessing new screening tests","year":2022,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; University of Alberta; McGill University Health Centre; University of Calgary; McGill University; Université du Québec; Alberta Health Services","funders":"","keywords":"Test (biology); Computer science; Screening test; Data science; Early adopter; Medicine; Family medicine; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009765032,0.0007361503,0.0007151095,0.002618271,0.001027397,0.001799466,0.001254485,0.001380679,0.006989736],"category_scores_gemma":[0.03150582,0.0003388538,0.001207986,0.00124801,0.0004952203,0.001201388,0.0009423305,0.001733851,0.001824897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003467933,"about_ca_system_score_gemma":0.003394018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04988251,"about_ca_topic_score_gemma":0.08105133,"domain_scores_codex":[0.9928301,0.001752929,0.0006807828,0.0004847274,0.003601197,0.0006502671],"domain_scores_gemma":[0.9759305,0.00667212,0.002702611,0.0008782882,0.01101736,0.002799192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005740413,0.001366464,0.8353596,0.0005189332,0.0002368736,0.0002930684,0.001649616,0.0004896062,0.001446034,0.0004073411,0.008506069,0.1491524],"study_design_scores_gemma":[0.00009578367,0.002938123,0.9653899,0.0003301584,0.0003202093,0.0008613702,0.001641603,0.001311979,0.00281935,0.0004707301,0.02372499,0.00009577482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8888966,0.00715457,0.004718659,0.003485347,0.0006228433,0.00385782,0.004849143,0.0004068595,0.08600816],"genre_scores_gemma":[0.9511073,0.004678258,0.01579701,0.002296937,0.0002854695,0.001155263,0.003738664,0.00004837674,0.02089274],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04988251,"threshold_uncertainty_score":0.09918433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305230724789203,"score_gpt":0.2846092701382922,"score_spread":0.2415569628904002,"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."}}