{"id":"W2333888405","doi":"10.2172/1179131","title":"Metabolic Engineering X Conference","year":2015,"lang":"en","type":"report","venue":"","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolic engineering; Globe; Government (linguistics); Engineering; Library science; Engineering ethics; Political science; Computer science; Biology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896288,0.001430768,0.0003897506,0.001619645,0.0009914893,0.003500849,0.001029606,0.0009964771,0.1448321],"category_scores_gemma":[0.0009899437,0.000214693,0.0007858715,0.0009635529,0.0002173794,0.001117363,0.002444762,0.001158184,0.07628395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958984,"about_ca_system_score_gemma":0.003737153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680963,"about_ca_topic_score_gemma":0.004884975,"domain_scores_codex":[0.9984819,0.0001245041,0.00005197314,0.0001511522,0.0009744608,0.0002158838],"domain_scores_gemma":[0.9990929,0.00003112052,0.0000295097,0.00004986931,0.0004325405,0.0003640226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001633327,0.0002588482,0.0006445685,0.0002319411,0.00001316905,0.0001215638,0.00003892268,0.0002420158,0.004208413,0.004683265,0.8521742,0.1372198],"study_design_scores_gemma":[0.000005789847,0.00005175748,0.0006011014,0.00002947368,0.000001648775,0.00003586291,0.00002147819,0.00006032572,0.001356208,0.0002048845,0.9976279,0.000003636896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01188321,0.01369653,0.005749493,0.01579655,0.02832336,0.001258238,0.01176397,0.001789214,0.9097393],"genre_scores_gemma":[0.01243384,0.007811242,0.002372598,0.001565007,0.001725271,0.0002243472,0.0124955,0.000222784,0.9611494],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1448321,"threshold_uncertainty_score":0.4845117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485201151969531,"score_gpt":0.2438640498382099,"score_spread":0.1953439346412568,"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."}}