{"id":"W1979568036","doi":"10.1016/j.biortech.2014.10.130","title":"Technoeconomic analysis of large scale production of pre-emergent Pseudomonas fluorescens microbial bioherbicide in Canada","year":2014,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Government of Canada","funders":"","keywords":"Bioherbicide; Pseudomonas fluorescens; Pseudomonas; Scale (ratio); Biology; Environmental science; Agronomy; Bacteria; Germination; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001810403,0.0003045564,0.0003518213,0.0004451331,0.0007163259,0.0007743196,0.0003926831,0.0003032858,0.0005340778],"category_scores_gemma":[0.0003217143,0.0001274542,0.0002367546,0.0009504265,0.0002841241,0.0002116071,0.0002607795,0.0004202865,0.000214435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004289686,"about_ca_system_score_gemma":0.004348509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6112704,"about_ca_topic_score_gemma":0.6870086,"domain_scores_codex":[0.9995772,0.00001367317,0.00001104295,0.00005396336,0.0002556819,0.00008839999],"domain_scores_gemma":[0.999734,0.00002360417,0.00001651224,0.000008405555,0.0001817875,0.00003572209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002389313,0.0000958622,0.006204186,0.00003608476,0.000009359829,0.0001230882,0.0001012652,0.0007435639,0.9879247,0.00008643851,0.0001163931,0.004320179],"study_design_scores_gemma":[0.0000269553,0.0004768523,0.1371298,0.000009709433,0.00004967436,0.0001263236,0.0009546792,0.005463089,0.8527628,0.00005354218,0.002916036,0.00003056822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970821,0.0000971995,0.0005822023,0.00003912852,0.000005749351,0.00003982187,0.0009743812,0.00001742578,0.001161939],"genre_scores_gemma":[0.992726,0.0003263654,0.001540761,0.00003036827,0.000002772428,0.00004042133,0.001664301,0.00001859914,0.003650497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3887296,"threshold_uncertainty_score":0.7820377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004346122809385281,"score_gpt":0.2030035418078286,"score_spread":0.1986574189984434,"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."}}