{"id":"W2972221531","doi":"10.5151/simea2019-pap117","title":"Avaliação das características de volatilidade de blendas diesel/biodiesel usando técnicas de análise térmica","year":2019,"lang":"pt","type":"article","venue":"","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Diesel fuel; Biodiesel; Materials science; Pulp and paper industry; Environmental science; Chemistry; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005363464,0.0006217133,0.0004999836,0.0009712749,0.0003003113,0.0004703796,0.0004170443,0.0005630841,0.001428254],"category_scores_gemma":[0.0006404717,0.0003492681,0.0005697716,0.0008454988,0.0002829503,0.0004843917,0.0002906587,0.0006792665,0.0005120736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275553,"about_ca_system_score_gemma":0.0002016405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324358,"about_ca_topic_score_gemma":0.004650362,"domain_scores_codex":[0.9993679,0.00004868615,0.00003616013,0.0001563886,0.0003249038,0.00006592226],"domain_scores_gemma":[0.99968,0.00007363167,0.00006886877,0.00002074838,0.0001333344,0.00002340843],"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":[0.0001977251,0.00005488785,0.005650392,0.0001629677,0.00003286919,0.00008978257,0.000168856,0.000180039,0.9873213,0.00005155951,0.0000376832,0.006052073],"study_design_scores_gemma":[0.000007194114,0.0003202682,0.02331644,0.00002052178,0.00006328144,0.0002755918,0.0001927524,0.003170355,0.9708872,0.00005037011,0.001673599,0.00002238377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871465,0.002642314,0.007322848,0.00003750932,0.0000326729,0.00004748093,0.0008654865,0.0001415317,0.001763607],"genre_scores_gemma":[0.9840016,0.002766632,0.008867159,0.00003284172,0.00001286439,0.00009717736,0.0006959974,0.00006082525,0.003464909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002324358,"threshold_uncertainty_score":0.004777968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899317579929008,"score_gpt":0.2786315162758771,"score_spread":0.2596383404765871,"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."}}