{"id":"W4315929156","doi":"10.1097/j.pain.0000000000002815","title":"Reply to Wong and Varshney","year":2023,"lang":"en","type":"article","venue":"Pain","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute on Aging","keywords":"Political science; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007526914,0.001214926,0.002150939,0.00133037,0.003316187,0.00386453,0.003949644,0.03599139,0.009116234],"category_scores_gemma":[0.04934566,0.001018058,0.001354633,0.001386657,0.005163641,0.009583203,0.003258439,0.06182647,0.008314807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003202328,"about_ca_system_score_gemma":0.006162175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007276156,"about_ca_topic_score_gemma":0.009834623,"domain_scores_codex":[0.9965518,0.0008780244,0.0005091094,0.0006217581,0.001116012,0.0003234137],"domain_scores_gemma":[0.9750518,0.01340384,0.001099665,0.0009487988,0.006579384,0.00291647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001441363,0.000006115531,0.00008142035,0.00004320356,0.000006548267,0.00008330358,0.00005602032,0.000009373933,0.00001509365,0.0005504138,0.996793,0.002341279],"study_design_scores_gemma":[0.00006294568,0.00003410632,0.0008302152,0.000591389,0.0000294882,0.001303583,0.0008064495,0.00009728023,0.0001620315,0.005949355,0.9900405,0.00009276403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007755741,0.002816746,0.00004171812,0.9634649,0.0331097,0.000005814143,0.00004189522,0.00001572423,0.0004260141],"genre_scores_gemma":[0.0008711606,0.001866205,0.00008420222,0.9654828,0.02999764,0.00002085785,0.00002049559,0.00001579276,0.001640863],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03599139,"threshold_uncertainty_score":0.0398066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08719587036061818,"score_gpt":0.3557451194262196,"score_spread":0.2685492490656014,"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."}}