{"id":"W4381389065","doi":"10.46254/an13.20230136","title":"Modelling Resilient Healthcare Supply Chain: A Hybrid Vulnerability-Capability Model with TISM-MICMAC Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Supply chain; Vulnerability (computing); Computer science; Risk analysis (engineering); Business; Computer security","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":[0.0007314978,0.000871359,0.0006951132,0.00142419,0.0007246324,0.00235182,0.001678126,0.002323206,0.006997955],"category_scores_gemma":[0.002098422,0.0005119738,0.00135197,0.001197861,0.0007730795,0.001863109,0.00216575,0.001546068,0.0005631834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177542,"about_ca_system_score_gemma":0.002381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02340078,"about_ca_topic_score_gemma":0.01194689,"domain_scores_codex":[0.9995824,0.000116956,0.00002393809,0.0000795961,0.00007994765,0.0001171413],"domain_scores_gemma":[0.9991497,0.0004056045,0.0001536994,0.00003441764,0.000154743,0.0001019657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002301014,0.00002527695,0.001162183,0.00005843579,0.00003933219,0.0002591744,0.00009792959,0.9620022,0.0003686408,0.03120785,0.0007128693,0.004043196],"study_design_scores_gemma":[0.000005943534,0.00002045013,0.0002408981,0.00002771709,0.00001804573,0.00004532791,0.00008042264,0.9824015,0.0000717212,0.01563332,0.001442169,0.000012492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1462472,0.002664316,0.7765108,0.003760517,0.0002957768,0.000264162,0.001669658,0.0005010533,0.06808648],"genre_scores_gemma":[0.958792,0.001072518,0.02668219,0.0001738646,0.00007304963,0.0002245941,0.0004261811,0.00007315825,0.01248245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02340078,"threshold_uncertainty_score":0.04652917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365559214187134,"score_gpt":0.2484213286011273,"score_spread":0.214765736459256,"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."}}