{"id":"W6893967086","doi":"10.5281/zenodo.7314371","title":"IProPBio Workshop Series - ProGreS 3rd WORKSHOP From biomass characterization to process synthesis","year":2022,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Horizon 2020 Framework Programme","keywords":"Multidisciplinary approach; Process (computing); Beauty; Sustainable development; Sociology of scientific knowledge","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003432078,0.0003212539,0.0002662996,0.0002366343,0.001030844,0.0004658304,0.0009146584,0.0002576114,0.004842422],"category_scores_gemma":[0.0006870491,0.0003513679,0.00009065619,0.0003583594,0.0001015717,0.00002407076,0.001051919,0.0003194106,0.0007043062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223118,"about_ca_system_score_gemma":0.00002085846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003687281,"about_ca_topic_score_gemma":6.056168e-7,"domain_scores_codex":[0.9979481,0.0001693408,0.0003171682,0.0008765407,0.0003309037,0.000357959],"domain_scores_gemma":[0.9985812,0.000004883947,0.000182864,0.0006710189,0.0003982905,0.0001616927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002944272,0.0001088623,6.999529e-7,0.0001908702,0.0001941527,0.000007801425,0.0004400169,0.00006473027,0.73936,0.0001061095,0.1716379,0.08759438],"study_design_scores_gemma":[0.000117569,0.000145562,0.00003522093,0.00009137347,0.00004727278,0.00004232111,0.00009517017,0.000006408165,0.04142202,0.00002418473,0.9575848,0.0003881255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5088425,0.007625658,0.03498051,0.0172541,0.009812098,0.01838401,0.0353974,0.009603879,0.3580998],"genre_scores_gemma":[0.140769,0.00181838,0.00138185,0.0004962006,0.008168018,0.000007608282,0.1876525,0.009587828,0.6501186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7859468,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748548311600467,"score_gpt":0.2295681197149096,"score_spread":0.212082636598905,"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."}}