{"id":"W4246922178","doi":"10.1002/div.1500","title":"Ecolab, Inc.","year":2004,"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; Asia pacific; International market; Waste management; Engineering; International trade; Tourism; Geography; 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":[0.0001493848,0.0001737618,0.0001758366,0.0001300976,0.00008555439,0.00002401971,0.0002337065,0.0001444728,0.0009476164],"category_scores_gemma":[0.00007369266,0.0001885166,0.00006362254,0.0002482405,0.00003704645,0.0001900852,0.00006368892,0.0002465412,0.0007065755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374068,"about_ca_system_score_gemma":0.00007249373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404403,"about_ca_topic_score_gemma":0.0001130882,"domain_scores_codex":[0.9989609,0.00002080636,0.0002244828,0.0001806934,0.0001554722,0.0004576638],"domain_scores_gemma":[0.9995528,0.00003334535,0.00002474342,0.0002296542,0.0000200165,0.0001394122],"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":[0.00002440841,0.0000927069,0.002902694,0.00006465924,0.0002324094,0.0001678368,0.0004187077,0.9589855,0.001190027,0.006126052,0.02422865,0.005566371],"study_design_scores_gemma":[0.007315001,0.0003852983,0.02629757,0.00007268143,0.0002114928,0.00005357179,0.001770168,0.004236374,0.01586554,0.0134808,0.9282289,0.002082627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865375,0.0002393651,0.0009858536,0.001222751,0.003135159,0.0003048998,0.00001269588,0.0006580228,0.006903779],"genre_scores_gemma":[0.9989416,0.0000612878,0.0002242882,0.000136533,0.0002268109,0.000032844,0.00001384191,0.00004235783,0.0003204348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9547491,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008748216497278373,"score_gpt":0.1944269534036803,"score_spread":0.1856787369064019,"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."}}