{"id":"W3082810626","doi":"10.1039/d0lc00426j","title":"Single ascospore detection for the forecasting of <i>Sclerotinia</i> stem rot of canola","year":2020,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Alberta Innovates; Mitacs; Canola Council of Canada","keywords":"Ascospore; Canola; Sclerotinia; Stem rot; Productivity; Agriculture; Sclerotinia sclerotiorum; Sustainability; Engineering; Agricultural engineering; Agronomy; Horticulture; Biology; Botany; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001479823,0.0003007626,0.0001968043,0.0004012396,0.0001170263,0.00027202,0.0002369306,0.0003673385,0.0004264084],"category_scores_gemma":[0.000295477,0.0001151801,0.0001387529,0.0001495974,0.00007885442,0.0002366093,0.000162951,0.0002025052,0.0001655797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450883,"about_ca_system_score_gemma":0.0001368962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000641091,"about_ca_topic_score_gemma":0.00160931,"domain_scores_codex":[0.9998789,0.00001619058,0.0000080648,0.00004684531,0.00003776096,0.00001219415],"domain_scores_gemma":[0.9998448,0.00005920811,0.00003183364,0.00001221959,0.00003336805,0.00001852315],"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":[0.00006384865,0.00002842108,0.003965956,0.00005855037,0.000008961948,0.00002891121,0.00001773984,0.0009631457,0.9828356,0.0000388426,0.0001005149,0.01188953],"study_design_scores_gemma":[0.000006896886,0.0002814834,0.01828421,0.000006455878,0.00003188796,0.0001254875,0.00005531932,0.03970488,0.9402601,0.00006809222,0.001151844,0.00002344746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414528,0.001482885,0.05431571,0.0001693264,0.00006821489,0.00006457262,0.0006772223,0.0006176992,0.001151617],"genre_scores_gemma":[0.9748326,0.0004240003,0.02396218,0.00003843625,0.000009263385,0.00002710205,0.0001619205,0.000007217001,0.0005372207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000641091,"threshold_uncertainty_score":0.001426518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06669827907110572,"score_gpt":0.196388001514804,"score_spread":0.1296897224436983,"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."}}