{"id":"W2588052961","doi":"10.3390/su9020279","title":"The Challenges of Applying Planetary Boundaries as a Basis for Strategic Decision-Making in Companies with Global Supply Chains","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Rijksinstituut voor Volksgezondheid en Milieu; National Ethnic Affairs Commission of the People's Republic of China; Economic and Social Research Council; University of Surrey","keywords":"Supply chain; Planetary boundaries; Basis (linear algebra); Business; Industrial organization; Marketing; Mathematics; Sustainable development; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000770013,0.0002062906,0.0002480622,0.00002426692,0.001428803,0.0002223177,0.0006198135,0.00007107409,0.00006592077],"category_scores_gemma":[0.0005858027,0.0001451736,0.00005701723,0.00008945853,0.001925933,0.0003193645,0.000397391,0.0001035905,0.000005127988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406708,"about_ca_system_score_gemma":0.0002395285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003414447,"about_ca_topic_score_gemma":0.0101574,"domain_scores_codex":[0.9983447,0.00005286197,0.0002926428,0.0003936982,0.0003456135,0.0005704847],"domain_scores_gemma":[0.9987144,0.0003518672,0.0001897861,0.0006486063,0.00002857467,0.00006672489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00110735,0.0001614432,0.836933,0.0002096758,0.00003392378,0.00003430243,0.002922735,0.002340859,0.000003493984,0.03505832,0.0000648011,0.1211301],"study_design_scores_gemma":[0.0003902531,0.0001382648,0.7707658,0.00003625944,0.000008776016,0.00000546828,0.02524079,0.0005484949,0.00001017524,0.2013513,0.00133203,0.0001723459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919219,0.0002327326,0.00008864842,0.001766609,0.00005152624,0.001139737,0.00001779153,0.00001694973,0.004764109],"genre_scores_gemma":[0.9987817,0.00005203706,0.0008380938,0.00003283745,0.00001792072,0.000203511,0.000002776539,0.00001076116,0.0000603747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.166293,"threshold_uncertainty_score":0.9998712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592515090077926,"score_gpt":0.277978242901381,"score_spread":0.2620530920006017,"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."}}