{"id":"W2885984322","doi":"10.1038/s41598-018-30167-5","title":"Immuno-impedimetric Biosensor for Onsite Monitoring of Ascospores and Forecasting of Sclerotinia Stem Rot of Canola","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Alberta Canola Producers Commission; Innotech Alberta; University of Alberta; Alberta Crop Industry Development Fund","keywords":"Sclerotinia sclerotiorum; Sclerotinia; Stem rot; Canola; Biology; Ascocarp; Agronomy; Botany","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":[0.0005314332,0.0005665748,0.0003171243,0.0004513939,0.0001511236,0.0003709564,0.000726174,0.0009700601,0.0004413415],"category_scores_gemma":[0.0005706414,0.0002063211,0.0002019909,0.0002715999,0.0002063562,0.0003577356,0.000307043,0.000646494,0.0003054159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723986,"about_ca_system_score_gemma":0.0001874766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005707018,"about_ca_topic_score_gemma":0.001179062,"domain_scores_codex":[0.9993739,0.0001446618,0.00002881541,0.0001192358,0.0002919126,0.00004161316],"domain_scores_gemma":[0.9997333,0.00009934015,0.00004691821,0.00002386989,0.00007435495,0.0000222092],"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":[0.00002908591,0.00002885197,0.0003049269,0.00004193159,0.000004414225,0.00001693605,0.00001575465,0.0001636355,0.9962332,0.00005939742,0.00004237787,0.003059583],"study_design_scores_gemma":[0.0000045139,0.0002411527,0.001787947,0.000004414116,0.00001485035,0.0001323381,0.00004006632,0.007890114,0.9889255,0.00005278178,0.0008929409,0.00001337999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8352843,0.003036799,0.1555806,0.0006201905,0.0002978671,0.0001441137,0.0004297475,0.0008337541,0.003772682],"genre_scores_gemma":[0.9206575,0.001743158,0.07368203,0.0001492059,0.00003324455,0.00009419599,0.0002143732,0.0000138361,0.003412482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009700601,"threshold_uncertainty_score":0.002810538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226715102715488,"score_gpt":0.2254122614195479,"score_spread":0.183145110392393,"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."}}