{"id":"W4212826437","doi":"10.1002/div.6312","title":"Ecolab, Inc.","year":2007,"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; Marketing; Geography; Tourism; Political science","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":[0.0005136103,0.0001705149,0.0001725018,0.0001816491,0.00008302128,0.00001910365,0.000229637,0.0001660617,0.001406859],"category_scores_gemma":[0.0001003031,0.0001860502,0.00006137159,0.0002908478,0.00003630439,0.0001595861,0.00006436418,0.0002671815,0.0004957491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605995,"about_ca_system_score_gemma":0.00003326179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007168336,"about_ca_topic_score_gemma":0.000178062,"domain_scores_codex":[0.9987482,0.000021689,0.0002847345,0.000175577,0.0001735432,0.0005962134],"domain_scores_gemma":[0.9994413,0.0001078665,0.00002930768,0.0002256176,0.00002455997,0.0001713919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002933839,0.0004063238,0.0902454,0.0003491884,0.001287448,0.00138134,0.00193628,0.274657,0.009877337,0.01395561,0.4621519,0.1434587],"study_design_scores_gemma":[0.001411144,0.0001159376,0.04366281,0.00001578726,0.00007301195,0.00001789303,0.001082755,0.003422573,0.007423471,0.0007913645,0.9412051,0.0007781808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740939,0.0002410525,0.002427404,0.0003640882,0.003981016,0.0002884199,0.00000834031,0.0006158179,0.01797995],"genre_scores_gemma":[0.9984531,0.00003610232,0.0001921828,0.0001256082,0.0003314036,0.00001105828,0.0000123559,0.00004212638,0.0007960885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4790532,"threshold_uncertainty_score":0.999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845827423633124,"score_gpt":0.2132785223852676,"score_spread":0.2044326949616344,"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."}}