{"id":"W2348977701","doi":"","title":"Summary and analysis of patents related to cellulosic ethanol","year":2008,"lang":"en","type":"article","venue":"Xiandai huagong","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cellulosic ethanol; China; Index (typography); Business; Patent analysis; Agricultural economics; Political science; Engineering; Economics; Data science; Computer science; World Wide Web; Cellulose; Law; Chemical engineering","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":[0.0009545757,0.0005682319,0.0006547712,0.02439167,0.0004013335,0.001412631,0.0004861914,0.000319456,0.01911696],"category_scores_gemma":[0.006202036,0.0001102602,0.000645361,0.02987847,0.0001287349,0.001161864,0.0003686536,0.000244705,0.006252555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102563,"about_ca_system_score_gemma":0.001681576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004943717,"about_ca_topic_score_gemma":0.002863782,"domain_scores_codex":[0.9983254,0.0001242941,0.0003925694,0.0001718641,0.0008298177,0.0001559693],"domain_scores_gemma":[0.9944466,0.001990242,0.001361654,0.0002125282,0.001812338,0.0001765753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001079892,0.0001471259,0.05223767,0.01064169,0.0003901238,0.002165305,0.0004147805,0.004358211,0.0074801,0.009219555,0.1786143,0.7332513],"study_design_scores_gemma":[0.0000509077,0.0002758435,0.1775828,0.0008390343,0.0004214442,0.001535519,0.000402728,0.001825299,0.007560628,0.002009396,0.8074493,0.00004697357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.1429005,0.05170128,0.004670983,0.001792706,0.0006224251,0.0007175631,0.6885579,0.000731058,0.1083057],"genre_scores_gemma":[0.2943817,0.05960612,0.008075805,0.0004522953,0.0006984653,0.0005344482,0.5957294,0.0001376234,0.04038413],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02439167,"threshold_uncertainty_score":0.06395262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007789783011279612,"score_gpt":0.2144387410475522,"score_spread":0.2066489580362726,"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."}}