{"id":"W2293166592","doi":"10.1139/cjm-2015-0770","title":"Efficient production of <i>Aschersonia</i> <i>placenta</i> protoplasts for transformation using optimization algorithms","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fujian Provincial Department of Science and Technology","keywords":"Protoplast; Response surface methodology; Biology; Transformation (genetics); DNA; Transformation efficiency; Botany; Gene; Biochemistry; Chromatography; Chemistry; Agrobacterium","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007149919,0.0009577259,0.0008292691,0.0002920361,0.0001395782,0.0006801971,0.0004575918,0.0004446339,0.0007072968],"category_scores_gemma":[0.0008468893,0.0003520672,0.001343693,0.0003495532,0.0002401849,0.0003034429,0.000299873,0.0007188671,0.000371815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528268,"about_ca_system_score_gemma":0.0005072148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006405556,"about_ca_topic_score_gemma":0.00113209,"domain_scores_codex":[0.9995843,0.0001021098,0.000029197,0.0001217635,0.000121771,0.0000408524],"domain_scores_gemma":[0.9997851,0.0001250135,0.00004681725,0.00001240613,0.00002319805,0.000007330655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000291977,0.0002473613,0.002129538,0.0005929987,0.0001617542,0.0001387731,0.00007785916,0.3113438,0.6332122,0.001943682,0.0003543358,0.04950569],"study_design_scores_gemma":[0.00006160008,0.0009014702,0.00262661,0.00002946098,0.0001365218,0.0001291949,0.00005319108,0.7807683,0.2099507,0.001199121,0.004098786,0.00004495606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2913021,0.0008344542,0.7039511,0.00007775235,0.00002742986,0.0002511253,0.0004122862,0.001010239,0.002133603],"genre_scores_gemma":[0.479426,0.0009154502,0.5169255,0.00006007589,0.000008375603,0.0005623496,0.0008549021,0.0002157944,0.001031674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009577259,"threshold_uncertainty_score":0.003781259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274157586749352,"score_gpt":0.2018591581901737,"score_spread":0.1891175823226802,"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."}}