{"id":"W4379389110","doi":"10.1080/09537287.2023.2210522","title":"From a rugged to a smooth supply chain performance landscape: a complementarity perspective","year":2023,"lang":"en","type":"article","venue":"Production Planning & Control","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Complementarity (molecular biology); Supply chain; Interdependence; Microeconomics; Industrial organization; Perception; Empirical evidence; Supply chain management; Perspective (graphical); Business; Economics; Marketing; Computer science; Psychology; Sociology; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009803609,0.0002937153,0.0003254891,0.0008343398,0.0004757512,0.0003589203,0.0003339368,0.00004789739,0.0004575121],"category_scores_gemma":[0.0004521804,0.0003022524,0.00007873732,0.001484333,0.00003630136,0.0008344118,0.0002380271,0.0002250546,0.0009973724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208783,"about_ca_system_score_gemma":0.00003159782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901815,"about_ca_topic_score_gemma":0.00008848286,"domain_scores_codex":[0.9976916,0.00003400297,0.0003316184,0.0007962532,0.0004848357,0.0006616815],"domain_scores_gemma":[0.9989365,0.00006705574,0.0001831039,0.0004417171,0.0003368411,0.00003477673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209199,0.0002195103,0.5010247,0.0003796618,0.0003980188,0.0001112293,0.004936539,0.04246772,0.001182763,0.003925432,0.4376558,0.006489464],"study_design_scores_gemma":[0.004695426,0.00009242199,0.4557876,0.0002515188,0.0002695558,0.000002854229,0.04643812,0.08894155,0.0001022854,0.003601219,0.3987043,0.001113196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617073,0.0001110739,0.00117708,0.02857107,0.001517826,0.001973991,0.00003112163,0.001189342,0.003721222],"genre_scores_gemma":[0.9912518,0.000004256022,0.0001741044,0.002679362,0.004035561,0.0004029663,0.0002253628,0.00004973089,0.001176825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04647383,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722172013548828,"score_gpt":0.2491488227073309,"score_spread":0.2319271025718427,"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."}}