{"id":"W4323339804","doi":"10.2139/ssrn.4369876","title":"Supplementary Appendix for Supply Network Formation and Fragility","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Fragility; Appendix; Economics; Computer science; Operations management; Geology; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008137127,0.001114733,0.000872859,0.003952006,0.0006170948,0.001549302,0.001286676,0.001227227,0.8982232],"category_scores_gemma":[0.01711549,0.0006335721,0.0008633491,0.00465247,0.0002043477,0.001648726,0.0008521821,0.0008669895,0.3843181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699294,"about_ca_system_score_gemma":0.002094501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824128,"about_ca_topic_score_gemma":0.03278009,"domain_scores_codex":[0.9995387,0.00007046326,0.00006163194,0.00009295493,0.0001670168,0.00006923508],"domain_scores_gemma":[0.9831318,0.009726484,0.0007896626,0.001028833,0.004916945,0.0004062668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000311944,0.00007545212,0.001005446,0.0003331187,0.00001580989,0.00004221946,0.00001743151,0.001720197,0.00007677719,0.003883548,0.9788538,0.01394504],"study_design_scores_gemma":[0.0003255726,0.00006275161,0.01095064,0.0005761457,0.00004556256,0.0002861967,0.0001877038,0.009092368,0.0004315753,0.04702565,0.930949,0.00006688562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001151074,0.0001279362,0.005950535,0.000651233,0.0005284292,0.000204747,0.9466141,0.001573636,0.0431983],"genre_scores_gemma":[0.02099586,0.0005746307,0.02668225,0.001084707,0.0005442275,0.00114461,0.8315271,0.002235607,0.115211],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8982232,"threshold_uncertainty_score":0.1451722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009851139802331809,"score_gpt":0.2342663842139299,"score_spread":0.224415244411598,"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."}}