{"id":"W2029223776","doi":"10.1615/jlongtermeffmedimplants.v17.i2.70","title":"Understanding Cost Effectiveness: Money Matters?","year":2007,"lang":"en","type":"article","venue":"Journal of Long-Term Effects of Medical Implants","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton General Hospital; McMaster University","funders":"","keywords":"Cost-effectiveness analysis; Economic analysis; Economic evaluation; Cost–benefit analysis; Risk analysis (engineering); Health care; Cost effectiveness; Relevant cost; Cost-minimization analysis; Key (lock); Computer science; Environmental economics; Actuarial science; Management science; Business; Medicine; Economics; Total cost; Computer security; Microeconomics; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04097467,0.000228382,0.001563724,0.0006621006,0.0001032404,0.00005022728,0.0005957016,0.0003319971,0.0002445776],"category_scores_gemma":[0.006963928,0.000233274,0.0002611655,0.0001977895,0.0001577217,0.0004903856,0.00007855795,0.0005142516,0.0001607809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008144125,"about_ca_system_score_gemma":0.0001989161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000802244,"about_ca_topic_score_gemma":0.00003730051,"domain_scores_codex":[0.9935799,0.0004993427,0.004494874,0.000281906,0.0005979148,0.0005460635],"domain_scores_gemma":[0.9861534,0.00871086,0.004086382,0.0002847961,0.0000879516,0.0006765825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007090374,0.0009611425,0.9371412,0.01047025,0.00117151,0.001754526,0.001792353,0.00007390856,0.0003839142,0.01389327,0.02783469,0.003814221],"study_design_scores_gemma":[0.008431405,0.0009595889,0.9729264,0.006552891,0.00007669177,0.001821476,0.0003471766,0.0003882633,0.001479245,0.005881135,0.0005496658,0.0005861095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8331841,0.001765285,0.1548295,0.006795056,0.002549842,0.0006053105,0.00002779907,0.00001532103,0.0002277369],"genre_scores_gemma":[0.9950126,0.0003208331,0.0002486108,0.003739574,0.0006189863,0.000006324047,0.000006319732,0.00003281499,0.00001389697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618285,"threshold_uncertainty_score":0.9875184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3822059796135164,"score_gpt":0.4665361750663492,"score_spread":0.08433019545283282,"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."}}