{"id":"W6966816563","doi":"10.4224/23001950","title":"Thermal black filled thermoplastics for automotive applications","year":2017,"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":"Carbon black; Thermal; Particle (ecology); Work (physics); Sulfide; Thermal stability; Polyamide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008649428,0.0004031621,0.0001328358,0.0004039418,0.0001500234,0.0002472131,0.0002106528,0.0003400824,0.005191067],"category_scores_gemma":[0.0000952175,0.0001469333,0.0001766148,0.0002786607,0.0001354744,0.0003419066,0.00020571,0.0004134093,0.00192854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624315,"about_ca_system_score_gemma":0.0001655331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353044,"about_ca_topic_score_gemma":0.0003991362,"domain_scores_codex":[0.9999363,0.00000881192,0.000002958404,0.000009573645,0.00003205735,0.00001025607],"domain_scores_gemma":[0.9999472,0.000007808042,0.00001554969,0.000006716973,0.00001490911,0.000007899222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000433795,0.00002503545,0.0001032048,0.0001974121,0.000006101522,0.00008418562,0.00001448753,0.0003557846,0.9725546,0.001153385,0.0004278123,0.02503459],"study_design_scores_gemma":[0.000005488107,0.0001623137,0.0006110812,0.00002188911,0.00001073657,0.0002175206,0.00001629129,0.001128416,0.9722247,0.0002825394,0.02531195,0.000007107531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.820692,0.04611799,0.06862019,0.0007189758,0.000693967,0.0001422535,0.0008816607,0.001749421,0.06038358],"genre_scores_gemma":[0.9450271,0.01117316,0.02026004,0.0001134676,0.00008092436,0.00004625801,0.0003124094,0.0001746723,0.02281208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005191067,"threshold_uncertainty_score":0.01736581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865102030295785,"score_gpt":0.2708375082467456,"score_spread":0.2421864879437878,"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."}}