{"id":"W4416994136","doi":"10.3390/ijerph22121816","title":"Travel Distance and Its Impact on Wait Time for Positron Emission Tomography–Computed Tomography in Patients with Cancers","year":2025,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Institute of Health Economics; University of Calgary; University of Alberta","funders":"Government of Alberta","keywords":"Lung cancer; Prostate cancer; Positron emission tomography; Lymphoma; Cancer registry; Cancer; Hodgkin lymphoma; Computed tomography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005500506,0.0002015619,0.0002443267,0.0005581136,0.0004545828,0.0006751006,0.0005696724,0.0003270588,0.002750294],"category_scores_gemma":[0.004138218,0.0001641332,0.00062659,0.001294655,0.0002202644,0.0004296314,0.000484725,0.0009685239,0.0002578534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350399,"about_ca_system_score_gemma":0.001789103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2713577,"about_ca_topic_score_gemma":0.354184,"domain_scores_codex":[0.9995103,0.0001080361,0.00004702097,0.00006737389,0.0001253895,0.000141871],"domain_scores_gemma":[0.9974818,0.0004760833,0.0009610043,0.00008124268,0.0003278849,0.0006720546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001934458,0.00002687003,0.9959702,0.00002052488,0.00009685086,0.00006336672,0.00007032295,0.0002612984,0.00004200585,0.00004415609,0.0004466362,0.002764306],"study_design_scores_gemma":[0.000009062795,0.00006009707,0.9981847,0.00002472047,0.0000695914,0.000123473,0.0002541136,0.0007456732,0.00002277893,0.00005147253,0.000445636,0.000008596148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945041,0.002567571,0.000169999,0.000473512,0.00003153793,0.000006260314,0.00101159,0.00000960712,0.001225897],"genre_scores_gemma":[0.9988095,0.0002509843,0.00007278192,0.00004771735,0.00001398402,0.000003592232,0.0005369589,0.00000330556,0.0002612652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2713577,"threshold_uncertainty_score":0.5395564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017019303367933,"score_gpt":0.382989157724233,"score_spread":0.3628189646905536,"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."}}