{"id":"W3125186646","doi":"","title":"Advancing Research on Corporate Sustainability – Off to Pastures New or Back to the Roots?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Sustainability; Corporate sustainability; Business; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.008202201,0.000166282,0.0001870525,0.00004073791,0.0005567573,0.0001879144,0.0006769628,0.0000833842,0.0001490552],"category_scores_gemma":[0.001100573,0.00005082598,0.00007205149,0.0007957105,0.00005430922,0.000128573,0.0001969324,0.001407839,0.0002200921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003206487,"about_ca_system_score_gemma":0.003814848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005920556,"about_ca_topic_score_gemma":0.03625084,"domain_scores_codex":[0.9957967,0.0004398527,0.0003008702,0.000369266,0.0004800641,0.002613198],"domain_scores_gemma":[0.9982556,0.0002794083,0.00008514401,0.0001306119,0.0006570541,0.0005921868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001895613,0.0002031719,0.008837353,0.0000078726,0.00005107414,0.00001502353,0.001186272,0.0007998342,0.0002205541,0.02930284,0.0549205,0.9025599],"study_design_scores_gemma":[0.0002465368,0.003710168,0.02574252,0.00001440406,0.000003968675,0.00006496797,0.04187303,0.00000702072,0.0001249426,0.2368147,0.6911677,0.000230031],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8232314,0.0002783171,0.0001167513,0.1751478,0.0001389557,0.0006644771,0.000001912424,0.00001863302,0.0004017586],"genre_scores_gemma":[0.9837254,0.0000980141,0.00008761828,0.001889286,0.0007080354,0.00002170723,0.000002639282,0.000002006652,0.01346534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9023299,"threshold_uncertainty_score":0.981335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06323174402891744,"score_gpt":0.3184999777346708,"score_spread":0.2552682337057533,"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."}}