{"id":"W29801217","doi":"10.1016/j.scitotenv.2018.04.437","title":"Fresamento de acabamento em altas velocidades de corte para eletrodos de grafita industrial","year":2004,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006408151,0.0001335722,0.0001077383,0.00004512911,0.0002269309,0.00004467803,0.0009052203,0.00006477899,0.00003405294],"category_scores_gemma":[0.0001028282,0.00008724053,0.00006376558,0.0001345399,0.0007767982,0.00007233655,0.0004053826,0.000289806,0.00002365435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000668928,"about_ca_system_score_gemma":0.00005654914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008012862,"about_ca_topic_score_gemma":0.000001043084,"domain_scores_codex":[0.998872,0.00002686934,0.0001449238,0.000166719,0.0003263213,0.0004631575],"domain_scores_gemma":[0.9993808,0.00003779556,0.000061131,0.0004574911,0.000003062763,0.00005977842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001048521,0.00004650553,0.0001111308,0.000008360815,0.00004021871,0.000002721674,0.001574353,0.7691494,0.2188233,0.0007640414,0.0002406233,0.009228821],"study_design_scores_gemma":[0.0002815364,0.0000506608,0.02395625,0.0000458908,0.0000236483,0.0000172505,0.0007690745,0.001794694,0.9678715,0.004890474,0.0001550885,0.0001439628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975112,0.00005624103,0.001104171,0.0007725104,0.00008882888,0.0001583832,0.000008148349,0.0001147518,0.000185785],"genre_scores_gemma":[0.998403,0.00004218464,0.001337169,0.00001707931,0.000043233,0.00001788938,3.687786e-7,0.00001202581,0.0001271198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7673547,"threshold_uncertainty_score":0.3557566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990739359491261,"score_gpt":0.2140115300326066,"score_spread":0.194104136437694,"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."}}