{"id":"W4231657342","doi":"10.1016/s0306-3747(18)30106-4","title":"Cabot enlarges global footprint for black masterbatches and conductive compounds","year":2018,"lang":"en","type":"article","venue":"Additives for Polymers","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Masterbatch; Footprint; Production (economics); Manufacturing engineering; Process engineering; Engineering; Geography; Chemical engineering; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001292905,0.0001528896,0.0001502788,0.0000208421,0.0001740268,0.00004347494,0.0001448042,0.00005243997,0.0001508684],"category_scores_gemma":[0.0000320439,0.0001406881,0.00006809947,0.00007742738,0.0008747619,0.0001193098,0.0001397534,0.00003256185,0.00001787797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006622214,"about_ca_system_score_gemma":0.00000468927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363053,"about_ca_topic_score_gemma":0.00006177411,"domain_scores_codex":[0.9990835,0.00001997923,0.0001384937,0.0003600956,0.0001026351,0.0002952662],"domain_scores_gemma":[0.9995909,0.0001019825,0.00007588539,0.000142957,0.00001199991,0.00007622717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001056861,0.0004525874,0.04076054,0.000204175,0.000665254,0.000004577671,0.006316441,0.00002420118,0.02789268,0.03248926,0.1135857,0.7765477],"study_design_scores_gemma":[0.004220372,0.00512525,0.09407915,0.0001831011,0.0003052402,0.0000165061,0.01298747,0.003110919,0.2381605,0.06848415,0.5714175,0.00190983],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8766875,0.0001227649,0.0303396,0.001155644,0.0003871413,0.00168581,0.0007387017,0.0002447819,0.08863802],"genre_scores_gemma":[0.9910632,0.00002060588,0.006305786,0.0002356912,0.0001017251,0.0001135605,0.00003344388,0.00001555516,0.002110366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746379,"threshold_uncertainty_score":0.5737095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665659508331214,"score_gpt":0.2723287931353616,"score_spread":0.2556721980520494,"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."}}