{"id":"W2081051732","doi":"10.1007/bf03351398","title":"Age discrimination in trials and treatment: Old dogs and new tricks","year":2003,"lang":"en","type":"article","venue":"Bioethics News","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medical prescription; Medicine; Damages; Clinical trial; Liability; Family medicine; Psychology; Law; Political science; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.05747961,0.0008272404,0.001806571,0.001162507,0.004604269,0.01351368,0.002375383,0.0391877,0.009501995],"category_scores_gemma":[0.1196409,0.0008409634,0.00100742,0.001293454,0.02988228,0.02882265,0.004036197,0.04569011,0.002379498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004443863,"about_ca_system_score_gemma":0.005451901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003703099,"about_ca_topic_score_gemma":0.00677955,"domain_scores_codex":[0.9703385,0.01731807,0.00173292,0.001993251,0.006876318,0.001740951],"domain_scores_gemma":[0.8811414,0.09895366,0.005102554,0.00423245,0.006073317,0.00449659],"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":[0.0002018945,0.00007812575,0.0005422764,0.000289672,0.00003816685,0.0002358354,0.003309808,0.00009107973,0.0002487257,0.3406728,0.5791878,0.07510388],"study_design_scores_gemma":[0.0001407865,0.00006505842,0.001375048,0.001089393,0.00003952704,0.0003877337,0.002052881,0.0001994639,0.0002449703,0.14523,0.8491031,0.0000719947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001020642,0.04160016,0.00116886,0.9302951,0.01414576,0.000007290553,0.00002126743,0.00002507559,0.01171589],"genre_scores_gemma":[0.0486953,0.02683385,0.002421904,0.834753,0.0702177,0.00008217266,0.00004206614,0.0001315502,0.01682241],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05747961,"threshold_uncertainty_score":0.3039848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2462104606975296,"score_gpt":0.4086016193188903,"score_spread":0.1623911586213606,"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."}}