{"id":"W2081775366","doi":"10.5430/jha.v1n1p30","title":"Quantification of the subjective labour load of a filmless radiology system by the contingent valuation method: a pilot study","year":2012,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiological weapon; Logistic regression; Medicine; Contingent valuation; Radiology; Valuation (finance); Medical physics; Willingness to pay; Finance; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003352802,0.00008881486,0.0002953234,0.0000466799,0.00007090597,0.00001546797,0.0001822617,0.00004015509,0.00002420444],"category_scores_gemma":[0.0001838106,0.00006409659,0.00009400801,0.0001000632,0.00005767769,0.0002806922,0.00002109883,0.0001079382,0.000008433145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398741,"about_ca_system_score_gemma":0.00004886036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009982406,"about_ca_topic_score_gemma":0.00001291291,"domain_scores_codex":[0.9984701,0.0001784452,0.001037684,0.0001086032,0.0001009388,0.0001041832],"domain_scores_gemma":[0.9970044,0.0001140907,0.002572047,0.0001831405,0.00009643992,0.00002986094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001283302,0.001788074,0.9571735,0.00003697473,0.0001830384,1.568791e-7,0.003391837,0.0002981657,0.001945078,0.03458732,0.0001768182,0.0002906535],"study_design_scores_gemma":[0.0006985737,0.00475042,0.9823827,0.00001851274,0.00005921101,0.00001515221,0.004664671,0.0005534731,0.005911738,0.0008060869,0.00005535348,0.00008415555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876203,0.000709035,0.009862314,0.0002850243,0.0007375937,0.0004502953,0.00004593641,0.000002234809,0.0002872593],"genre_scores_gemma":[0.9994966,0.00002084031,0.0002759944,0.00001268079,0.00009663268,0.00001431065,0.000004532215,0.000007884372,0.00007045693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03378123,"threshold_uncertainty_score":0.2613783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09210431764525415,"score_gpt":0.2717871145063799,"score_spread":0.1796827968611258,"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."}}