{"id":"W7019392786","doi":"","title":"Greener polypropylene compounds for automotive interiors","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polypropylene; Automotive industry; Raw material; Molding (decorative)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00009156015,0.00009177745,0.0001150333,0.00003815909,0.0001004481,0.0001106743,0.0001762883,0.00003675253,0.006176149],"category_scores_gemma":[0.00003712485,0.00006877706,0.00003941105,0.00005250216,0.00009449588,0.0002208217,0.0000536542,0.00002845812,0.0004810065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002165157,"about_ca_system_score_gemma":0.00002960284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006919471,"about_ca_topic_score_gemma":0.000008765545,"domain_scores_codex":[0.9993286,0.00003314611,0.0001510834,0.000166339,0.0001084266,0.0002123897],"domain_scores_gemma":[0.9995879,0.00002695011,0.00004767624,0.0001471915,0.0001185456,0.00007171458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001440053,0.00001816348,0.00007168189,0.00001320272,0.000003827582,1.965711e-7,0.0003730104,0.000001749246,0.9822092,0.00115923,0.01354045,0.002594852],"study_design_scores_gemma":[0.0003857115,0.0001318288,0.0006635764,0.00002391401,0.000008205217,0.000004289638,0.0001803346,0.001828481,0.9612021,0.005993116,0.02938287,0.0001955406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460055,0.00009812348,0.01204017,0.00343125,0.001071918,0.0005737171,0.00004463497,0.0002837382,0.03645092],"genre_scores_gemma":[0.9858788,0.000003135765,0.005146183,0.001033062,0.00008463557,0.0001047077,0.000007875983,0.00001525483,0.007726397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03987321,"threshold_uncertainty_score":0.9947323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176491603656559,"score_gpt":0.2339803349272213,"score_spread":0.2163311745615654,"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."}}