{"id":"W4411300921","doi":"10.2196/71279","title":"Value-Based Framework for Evaluating Pre-Commercial Procurement: Case Study of Value-Based Key Performance Indicators","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Value (mathematics); Key (lock); Procurement; Computer science; Business; Statistics; Mathematics; Marketing; Operating system; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07218259,0.001837858,0.001006831,0.01592384,0.004724728,0.01243367,0.003148223,0.002878831,0.003270092],"category_scores_gemma":[0.06985402,0.000766004,0.001646921,0.01536665,0.01019519,0.01120447,0.00701901,0.003196422,0.0004455383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02069489,"about_ca_system_score_gemma":0.01814649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121147,"about_ca_topic_score_gemma":0.01417249,"domain_scores_codex":[0.9287214,0.05681404,0.003079246,0.001731541,0.006907234,0.00274657],"domain_scores_gemma":[0.8834605,0.08994798,0.00805655,0.002873236,0.01351873,0.002143047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005383827,0.002075869,0.06581376,0.003894989,0.0002164289,0.006685218,0.2065601,0.02527951,0.004731792,0.4477003,0.004953,0.2315507],"study_design_scores_gemma":[0.0003046216,0.002522917,0.04697645,0.009126027,0.0004088708,0.003199964,0.4825326,0.1631133,0.01158494,0.1765614,0.1031194,0.0005495168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4014259,0.002648489,0.4491997,0.007585447,0.000152564,0.009692651,0.0006593422,0.0002901497,0.1283458],"genre_scores_gemma":[0.7273023,0.0006108938,0.2680778,0.000163833,0.00001476916,0.00213451,0.0001941919,0.00004153831,0.001460179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07218259,"threshold_uncertainty_score":0.3817426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025846290117471,"score_gpt":0.4553908508564934,"score_spread":0.3528062218447464,"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."}}