{"id":"W3125908778","doi":"10.2139/ssrn.2032125","title":"The Growing Business of Mitigating Ecological Footprints","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Scope (computer science); Business; Ecological footprint; Government (linguistics); Industrial organization; Value (mathematics); Business model; Goods and services; Marketing; Economics; Sustainability; Ecology; Economy; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.002254202,0.0001106597,0.0001610234,0.00005498047,0.0002195342,0.00002178335,0.0002593589,0.0001236968,0.00002240321],"category_scores_gemma":[0.0005523281,0.00008037085,0.00006513235,0.0002443668,0.00006004674,0.0002781569,0.00004398966,0.001462058,0.000009792096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151268,"about_ca_system_score_gemma":0.0006656182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191592,"about_ca_topic_score_gemma":0.00003814206,"domain_scores_codex":[0.996985,0.0000796514,0.000314097,0.00006055685,0.000132129,0.002428556],"domain_scores_gemma":[0.9993575,0.0002825594,0.00008575596,0.0001088069,0.00009606594,0.00006937611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001093255,0.0002157918,0.0406172,0.00008000967,0.001136692,0.00001946353,0.0006377224,0.05813291,0.007628105,0.6073695,0.0004218113,0.2836314],"study_design_scores_gemma":[0.008127923,0.001316094,0.2438801,0.0002143342,0.0005002333,0.007370438,0.07692076,0.01153885,0.01530496,0.5636713,0.06860641,0.002548579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938364,0.002165051,0.001232606,0.0004269379,0.0008588925,0.00009091262,1.770258e-7,0.00005145,0.00133754],"genre_scores_gemma":[0.9985431,0.0006307333,0.00005254851,0.00001776082,0.000614212,0.000006637504,3.159574e-7,0.00002188712,0.0001127867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2810828,"threshold_uncertainty_score":0.6351997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008760412170585208,"score_gpt":0.2158963080986497,"score_spread":0.2071358959280645,"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."}}