{"id":"W2033053245","doi":"10.1016/j.orl.2010.08.003","title":"On the supplier diversification under binomial yield","year":2010,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; University of New Brunswick; Dalhousie University","funders":"","keywords":"Diversification (marketing strategy); Binomial (polynomial); Yield (engineering); Mathematics; Binomial distribution; Business; Statistics; Marketing","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009919256,0.0000918236,0.00005617661,0.0003190444,0.001051035,0.0008401318,0.0004377589,0.00003888761,0.005014983],"category_scores_gemma":[0.0002848233,0.00006490036,0.00004347305,0.0004379906,0.0001886964,0.0005247704,0.0001775335,0.000476684,0.003227444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003881692,"about_ca_system_score_gemma":0.00001641852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006764089,"about_ca_topic_score_gemma":0.0005905574,"domain_scores_codex":[0.9988242,0.00002840336,0.0001205616,0.0002378223,0.000496137,0.0002928738],"domain_scores_gemma":[0.9992499,0.0001502675,0.00001488673,0.0004441186,0.0001266508,0.00001414311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000128634,0.00006045398,0.000275417,0.000006268372,0.00001392017,0.000001974472,0.00004643723,0.00179041,0.03938951,0.5301332,0.4278707,0.0003988517],"study_design_scores_gemma":[0.0007012215,0.00002888086,0.01026631,0.00002706141,0.00002464503,7.931266e-7,0.001809561,0.04298583,0.002081549,0.003260766,0.938363,0.0004503811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7828658,0.000001580204,0.0004254871,0.1784109,0.0005637294,0.0005283781,0.000002191967,0.00004645692,0.03715551],"genre_scores_gemma":[0.9757796,0.000001799682,0.00003940683,0.02123567,0.001084738,0.0001250315,0.00003655367,0.0000144075,0.001682802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5268725,"threshold_uncertainty_score":0.9975486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08486870141100007,"score_gpt":0.2964477325248592,"score_spread":0.2115790311138591,"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."}}