{"id":"W4328123573","doi":"10.1111/poms.13980","title":"Securing containerized supply chain through public and private partnership","year":2023,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Toronto Metropolitan University","funders":"","keywords":"Incentive; General partnership; Business; Government (linguistics); Externality; Adversary; Public–private partnership; Public good; Supply chain; Industrial organization; Finance; Economics; Marketing; Computer security; Microeconomics; Computer science","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":[0.003415102,0.0006069173,0.0005330612,0.0005367573,0.001290637,0.00276489,0.001138332,0.002127352,0.004253509],"category_scores_gemma":[0.007204906,0.0004973905,0.0007471289,0.0006493036,0.002175599,0.004800855,0.004169239,0.001368623,0.0004797941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334228,"about_ca_system_score_gemma":0.003848131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002557134,"about_ca_topic_score_gemma":0.002678924,"domain_scores_codex":[0.9961676,0.002195608,0.0001199597,0.0004183784,0.0004706385,0.0006278494],"domain_scores_gemma":[0.9955993,0.001812204,0.001080138,0.0005941564,0.0004023729,0.000511867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003768591,0.0004037904,0.005840365,0.000179964,0.00009248214,0.001289735,0.0008419696,0.5228517,0.01281977,0.4116288,0.001652057,0.04202251],"study_design_scores_gemma":[0.0001229212,0.0004057859,0.000982204,0.00006569139,0.0000433374,0.0003244496,0.0007374082,0.7554209,0.003473385,0.2288113,0.009550201,0.00006233924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2969803,0.0001881998,0.6654085,0.002317464,0.00003847879,0.0004606523,0.00007959362,0.0002385759,0.0342883],"genre_scores_gemma":[0.9735485,0.0001112142,0.02348354,0.00005510256,0.000008785463,0.0001120296,0.00001600798,0.00001014429,0.002654626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004253509,"threshold_uncertainty_score":0.01806104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784285542733001,"score_gpt":0.2449536626351953,"score_spread":0.2271108072078653,"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."}}