{"id":"W2807711662","doi":"","title":"Database Approach to Capital Medical Device Prioritization","year":2018,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Island Health","funders":"","keywords":"Database; Computer science; Prioritization; Business; Process management","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":[],"consensus_categories":[],"category_scores_codex":[0.0001361328,0.0001075168,0.00009148405,0.0001180103,0.00006198762,0.00003732656,0.0002422593,0.00009682449,0.00005109657],"category_scores_gemma":[0.00005386665,0.0001086229,0.0000143008,0.0002812636,0.00005390823,0.000225553,0.0001280552,0.0001155719,0.000158079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004017285,"about_ca_system_score_gemma":0.000008869542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003112478,"about_ca_topic_score_gemma":0.000004509471,"domain_scores_codex":[0.9992525,9.977697e-7,0.0001224459,0.0001908478,0.0002144365,0.0002187801],"domain_scores_gemma":[0.9997312,0.000004107144,0.00001239765,0.00008656701,0.00006816786,0.00009754863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002766342,0.0003459168,0.01249869,0.001185279,0.0002253461,0.0000124075,0.004794861,0.00002843781,0.02464002,0.4714765,0.4398374,0.04492752],"study_design_scores_gemma":[0.002748012,0.0007019165,0.02949831,0.000570352,0.0002235822,0.0001128228,0.007135551,0.1460756,0.0891281,0.003507359,0.7176509,0.002647407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8323694,0.00008137234,0.04500673,0.0004326653,0.0004319865,0.000364877,0.000003561549,0.001650915,0.1196584],"genre_scores_gemma":[0.9889992,0.00001792558,0.01022782,0.000211064,0.0002747828,0.00005755534,0.00001493157,0.00002324192,0.0001734681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4679691,"threshold_uncertainty_score":0.4429513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009837004772854903,"score_gpt":0.240250173866712,"score_spread":0.2304131690938571,"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."}}