{"id":"W6968839459","doi":"10.5281/zenodo.2526930","title":"Pressure Sensitive Adhesives Market Insights, Growth, Industry Analysis and Opportunities Outlook to 2023","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Polymer Science and PVC","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adhesive; Pressure sensitive; Market share; Electronics; Product (mathematics); High pressure","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005282048,0.0001263438,0.0001616379,0.000393882,0.001604147,0.0008459753,0.0006231086,0.0001094927,0.01839559],"category_scores_gemma":[0.0003876448,0.0001189366,0.00003352634,0.0008128723,0.000501945,0.0004323921,0.0009806616,0.000217822,0.002464639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001910618,"about_ca_system_score_gemma":0.000007668814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006935151,"about_ca_topic_score_gemma":0.000004521186,"domain_scores_codex":[0.9983941,0.0003231014,0.0001757039,0.0004396577,0.0003424642,0.0003250011],"domain_scores_gemma":[0.9986987,0.00003184873,0.00007385547,0.0003389648,0.0005504408,0.0003062248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002368121,0.0001509852,0.00008763083,0.0000702879,0.0003027768,0.00008179226,0.01537296,0.000008193856,0.58683,0.006514048,0.3463394,0.04400519],"study_design_scores_gemma":[0.0001942561,0.0003140684,0.006190666,0.00002293411,0.0001315409,0.00005195729,0.001804949,0.0003228487,0.1058682,0.0001576889,0.8846359,0.0003050066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7921703,0.0001495314,0.001964008,0.002732734,0.0002537398,0.0004156753,0.0006099765,0.0005750332,0.201129],"genre_scores_gemma":[0.9916936,0.00005936873,0.0002259436,0.0006947737,0.0002044411,4.929405e-8,0.00009801115,0.0002300376,0.00679379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5382965,"threshold_uncertainty_score":0.9996957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348968298028819,"score_gpt":0.2517866091169026,"score_spread":0.2082969261366144,"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."}}