{"id":"W4235872662","doi":"10.1007/978-981-10-0758-3","title":"Snow Mold","year":2016,"lang":"en","type":"book","venue":"","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Snow; Mold; Snow removal; Environmental science; Physical geography; Geography; Biology; Meteorology; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004672691,0.0001087824,0.00008085059,0.00001785898,0.00002505113,0.00001247336,0.0001523442,0.00006790129,0.1125134],"category_scores_gemma":[0.000004119221,0.00007213811,0.0000481474,0.00001429832,0.00005224456,0.00004907775,0.0001713987,0.00004784448,0.03389258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941561,"about_ca_system_score_gemma":0.000007774079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000202816,"about_ca_topic_score_gemma":0.000100541,"domain_scores_codex":[0.9993621,0.000005194171,0.00009206373,0.0002064741,0.0002184652,0.000115771],"domain_scores_gemma":[0.9996761,0.00001532307,0.00004480356,0.0002071529,0.000001422783,0.00005517802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[5.929026e-7,0.000003993049,0.000009371209,0.000001549396,0.000004952029,0.000003242664,0.00000657154,0.000003968944,0.00001087147,0.02444155,0.9335704,0.04194292],"study_design_scores_gemma":[0.00007086152,0.000008426739,0.0003647635,0.00001150314,0.000006533029,4.048874e-7,0.000001829782,0.000007180801,0.00001225287,0.008406688,0.990986,0.0001235011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001180605,0.000007609328,0.002555276,0.0005974366,0.0001582359,0.0001307121,0.000003910758,0.00006638163,0.9964793],"genre_scores_gemma":[0.0001559979,0.00003770183,0.0004737948,0.001215065,0.00005075668,0.000008260483,0.000009698421,0.00001463006,0.9980341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07862081,"threshold_uncertainty_score":0.9668596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009455190869194639,"score_gpt":0.1956300719114007,"score_spread":0.1861748810422061,"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."}}