{"id":"W4253881652","doi":"10.1016/s0306-3747(21)00022-1","title":"OCSiAl appoints graphene nanotube distributors for Canadian and Mexican markets","year":2021,"lang":"en","type":"article","venue":"Additives for Polymers","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graphene; Carbon nanotube; Nanotechnology; Materials science; Nanotube; Liquid state; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005402889,0.0002472418,0.0002452092,0.0001427755,0.0002009134,0.00006074808,0.00012171,0.0001065317,0.0002371997],"category_scores_gemma":[0.00006345746,0.0002857871,0.0001517101,0.0001876061,0.0001067889,0.0001555822,0.00002414526,0.00008285886,0.000004177985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008229126,"about_ca_system_score_gemma":0.0001241803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405369,"about_ca_topic_score_gemma":0.005392939,"domain_scores_codex":[0.9987898,0.00001587201,0.0002116005,0.0002777202,0.00009457554,0.0006104626],"domain_scores_gemma":[0.9990569,0.0002892708,0.00002943948,0.0001974391,0.0000489064,0.000377988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009416827,0.0001497974,0.003670595,0.002120346,0.005621587,0.0002057731,0.006422326,0.0008014524,0.1939396,0.04747929,0.3157509,0.4228967],"study_design_scores_gemma":[0.002589162,0.0001863625,0.006049522,0.0001371702,0.0002212402,0.00006572624,0.0009661154,0.008278715,0.6251119,0.0006679853,0.3543849,0.001341189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312057,0.01722872,0.01920926,0.003737463,0.006900753,0.003964952,0.06349174,0.001457968,0.05280346],"genre_scores_gemma":[0.9948298,0.00005337123,0.001263914,0.0002067497,0.0001881585,0.0002081088,0.001729853,0.00008197735,0.001438114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4311724,"threshold_uncertainty_score":0.9999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005447050145720587,"score_gpt":0.1968881650136596,"score_spread":0.191441114867939,"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."}}