{"id":"W3154034921","doi":"","title":"Green tribology innovation network","year":2012,"lang":"en","type":"article","venue":"Toraibarojisuto/Journal of Japanese Society of Tribologists","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Tribology; Business; Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209915,0.0002366402,0.0006371718,0.0001092851,0.000065001,0.00001315909,0.0003403582,0.000241266,0.0001841488],"category_scores_gemma":[0.00009813705,0.0001953205,0.0003493831,0.0007478747,0.0002585237,0.0004401122,0.00005360596,0.0004010872,0.0000114414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077749,"about_ca_system_score_gemma":0.00004993003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003091079,"about_ca_topic_score_gemma":0.000001376045,"domain_scores_codex":[0.9980817,0.00007303025,0.0008983787,0.0001045857,0.000300827,0.0005414142],"domain_scores_gemma":[0.9985806,0.0002193473,0.0005266925,0.0002041235,0.0003436141,0.0001255657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000904612,0.001944497,0.1097446,0.001768315,0.00693028,0.00006377055,0.05380954,0.02401759,0.09285667,0.01408888,0.6199612,0.07391009],"study_design_scores_gemma":[0.02246467,0.004954589,0.4302934,0.001418254,0.001615947,0.004128983,0.02332573,0.01044604,0.05487525,0.0144996,0.4261297,0.005847759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908349,0.003335139,0.001345049,0.0003223302,0.001595153,0.0001624007,0.00003880981,0.00009162213,0.002274628],"genre_scores_gemma":[0.9946653,0.0003197531,0.002926679,0.0001358765,0.001682043,0.000003579705,0.000014753,0.00003274256,0.0002192976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205489,"threshold_uncertainty_score":0.7964939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223621812412123,"score_gpt":0.2525833895827441,"score_spread":0.2303471714586229,"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."}}