{"id":"W3120410397","doi":"10.5489/cuaj.6870","title":"Caught in the net: Characterizing how testicular cancer patients use the internet as an information source","year":2021,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"The Internet; Testicular cancer; Cancer; Medicine; Population; Family medicine; Health care; Survivorship curve; Medical education; World Wide Web; Internal medicine; Computer science; Political science; Environmental health","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":[0.0007722228,0.0001358794,0.0002479399,0.001495625,0.001190653,0.002222832,0.0005292335,0.0004615738,0.003566111],"category_scores_gemma":[0.006975451,0.0001122977,0.0003255671,0.002164036,0.0005383888,0.001270171,0.0009862103,0.0006474825,0.0003899089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002433014,"about_ca_system_score_gemma":0.004396701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1904766,"about_ca_topic_score_gemma":0.2377487,"domain_scores_codex":[0.9992092,0.000156824,0.00007031963,0.00005304376,0.0003085021,0.0002021864],"domain_scores_gemma":[0.9960206,0.001012359,0.001493276,0.0000659746,0.0006174781,0.0007902736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004780424,0.000137826,0.9502769,0.000211753,0.00004164696,0.0001694536,0.01511418,0.00004027433,0.000153671,0.00009724899,0.002563424,0.0311458],"study_design_scores_gemma":[0.000007940876,0.0001330514,0.9488432,0.0002534477,0.00006553635,0.0005697694,0.04293794,0.0002600771,0.00009586224,0.00009198878,0.006712394,0.00002891129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915273,0.000935715,0.0001067369,0.001164989,0.00001219155,0.00007185925,0.0007478942,0.00001262351,0.005420888],"genre_scores_gemma":[0.9970764,0.001023873,0.000209671,0.0004544662,0.00001346976,0.00002430008,0.0005320456,0.000004783155,0.0006611426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1904766,"threshold_uncertainty_score":0.3787357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330643970036798,"score_gpt":0.3352853560742072,"score_spread":0.3019789163738392,"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."}}