{"id":"W2505700780","doi":"10.1108/case.kellogg.2016.000041","title":"BHP Billiton: Mining Potash","year":2017,"lang":"en","type":"article","venue":"Kellogg School of Management Cases","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Potash; Cartel; Corporation; Business; Value (mathematics); Government (linguistics); Industrial organization; Finance; Collusion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271539,0.0001989482,0.0002345654,0.0001784213,0.0002252223,0.0001364248,0.0005578276,0.0000516972,0.0003661772],"category_scores_gemma":[0.00006333967,0.0001852332,0.00009951452,0.00006082416,0.00008342889,0.00012475,0.0002797395,0.00009427692,0.0002035246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003341907,"about_ca_system_score_gemma":0.000003354465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002741346,"about_ca_topic_score_gemma":0.000005793326,"domain_scores_codex":[0.9989071,0.0000170336,0.0002867108,0.0002322958,0.0002509203,0.0003058852],"domain_scores_gemma":[0.998768,0.00003944416,0.0001110369,0.0009521696,0.00002080599,0.0001085071],"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":[0.0001095214,0.0002787369,0.1091664,0.004451068,0.002718259,0.003875758,0.0008244478,0.07062563,0.0006941147,0.008006889,0.5782766,0.2209726],"study_design_scores_gemma":[0.002574699,0.0002950557,0.2115235,0.001044437,0.0005867397,0.00004537662,0.003248445,0.015128,0.002504103,0.0002602923,0.7613521,0.001437278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434176,0.0006720405,0.0004051287,0.0001268821,0.0007212557,0.0002489241,0.000007604518,0.000274598,0.454126],"genre_scores_gemma":[0.9883276,0.0002592792,0.002071855,0.00005198067,0.0001500937,0.00002449471,0.000005963855,0.00003675126,0.009071973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.445054,"threshold_uncertainty_score":0.7553589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841543167134408,"score_gpt":0.2318455580181011,"score_spread":0.213430126346757,"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."}}