{"id":"W2922517593","doi":"10.1101/569327","title":"Chemical screening pipeline for identification of specific plant autophagy modulators","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; Svenska Forskningsrådet Formas; Sveriges Lantbruksuniversitet; Stiftelsen för Strategisk Forskning","keywords":"Autophagy; Biology; Arabidopsis thaliana; Cell biology; Computational biology; Programmed cell death; Arabidopsis; Identification (biology); Botany; Biochemistry; Gene; Mutant; Apoptosis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00142179,0.00189874,0.002255515,0.002979457,0.0007747551,0.001271729,0.0009374494,0.000876841,0.009257069],"category_scores_gemma":[0.001628195,0.0008295217,0.001277753,0.002092323,0.0003710261,0.0007731355,0.001318125,0.001537791,0.007256561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008102167,"about_ca_system_score_gemma":0.002128575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130265,"about_ca_topic_score_gemma":0.002228016,"domain_scores_codex":[0.9985266,0.0001395587,0.0001377647,0.0002795124,0.0007695569,0.0001470814],"domain_scores_gemma":[0.999033,0.0002075276,0.0001028356,0.0001793985,0.0003768804,0.000100457],"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":[0.0004119219,0.0001838443,0.000663581,0.00079322,0.000121568,0.0002016429,0.00005012377,0.0009765769,0.9592003,0.0004791997,0.00473514,0.0321831],"study_design_scores_gemma":[0.0001697104,0.001028331,0.003201806,0.00005341487,0.0002267362,0.0004701413,0.00003704406,0.003742446,0.9444978,0.0005695126,0.04591396,0.00008921105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225661,0.01090109,0.5070412,0.002376021,0.0005164412,0.0154911,0.1595685,0.05303748,0.02540721],"genre_scores_gemma":[0.3181316,0.009099904,0.4577244,0.001776032,0.0001951435,0.01336722,0.1724842,0.003312648,0.02390906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009257069,"threshold_uncertainty_score":0.03096801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836114278819621,"score_gpt":0.2072087349508243,"score_spread":0.188847592162628,"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."}}