{"id":"W4241125672","doi":"10.1002/div.5148","title":"Ecolab, Inc.","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Hospitality; Commerce; Latin Americans; International market; Marketing; Geography; Tourism","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001518339,0.0001717123,0.0001741537,0.0001319087,0.00008251463,0.00002736682,0.000205167,0.0001406881,0.001436909],"category_scores_gemma":[0.00003628429,0.000187179,0.00006254089,0.000235153,0.00003405388,0.000160816,0.00005475665,0.0002042794,0.0005068526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916929,"about_ca_system_score_gemma":0.00003418004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003483125,"about_ca_topic_score_gemma":0.0002156388,"domain_scores_codex":[0.9989305,0.00003160041,0.0002521923,0.0001760904,0.0001529978,0.0004566014],"domain_scores_gemma":[0.999605,0.00005448322,0.00002798731,0.000212681,0.00002058199,0.00007929282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002799351,0.0001229724,0.02416909,0.00008278689,0.0001778527,0.0001632265,0.00009907667,0.4945004,0.002097042,0.007110158,0.4651634,0.006286047],"study_design_scores_gemma":[0.001331341,0.00007305278,0.03697476,0.00001284105,0.00007315871,0.00001161167,0.0002460708,0.01083388,0.003483971,0.002714831,0.9435183,0.0007261937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716592,0.0003267828,0.000522183,0.0006125543,0.002872965,0.000289266,0.00001768531,0.0007015807,0.02299776],"genre_scores_gemma":[0.9976166,0.00002294669,0.0001246406,0.00006238244,0.0004181515,0.00003259119,0.00003040152,0.00004216473,0.001650125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4836665,"threshold_uncertainty_score":0.9994759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004801869792208921,"score_gpt":0.1718120568565666,"score_spread":0.1670101870643577,"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."}}