{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002319818,0.0007657548,0.0006631871,0.001212856,0.0008929418,0.004078673,0.001458206,0.004343939,0.02164408],"category_scores_gemma":[0.007838915,0.0001542648,0.0004408884,0.002469509,0.003847217,0.005777923,0.002403723,0.003906957,0.003407549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007221114,"about_ca_system_score_gemma":0.001624764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008348341,"about_ca_topic_score_gemma":0.00134455,"domain_scores_codex":[0.9985482,0.0003706892,0.00003724614,0.0002131835,0.0007514802,0.0000791627],"domain_scores_gemma":[0.9900728,0.006099562,0.0009003325,0.0009938624,0.00135097,0.000582452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001590695,0.0002818358,0.004244456,0.001145521,0.00009008477,0.0002327529,0.0004037231,0.006748081,0.00695447,0.365176,0.04626817,0.5682958],"study_design_scores_gemma":[0.00002413097,0.0001475915,0.003564263,0.0009289386,0.00005903037,0.0003790673,0.001878709,0.006175107,0.005034581,0.3934693,0.5882874,0.00005178296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05271062,0.09332053,0.09020361,0.2956485,0.007130393,0.00006578834,0.0004295773,0.0005151124,0.4599759],"genre_scores_gemma":[0.7557062,0.1072025,0.03754113,0.02971331,0.006839324,0.0000883343,0.0002855102,0.0002942944,0.06232947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02164408,"threshold_uncertainty_score":0.07240671,"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."}}