{"id":"W3192318615","doi":"","title":"Snow Mold Disease Control on Creeping Bentgrass October 2003 - May 2004","year":2004,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Mold; Environmental science; Meteorology; Biology; Geography; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001698669,0.0004234641,0.0004584564,0.0002200348,0.0005460474,0.0003684439,0.000355553,0.000200907,0.0009099217],"category_scores_gemma":[0.0001687703,0.0001144786,0.0001979455,0.000150728,0.0001884045,0.0001160728,0.0002010419,0.0002970964,0.0001244804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002401913,"about_ca_system_score_gemma":0.0009597223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09845535,"about_ca_topic_score_gemma":0.34883,"domain_scores_codex":[0.9998252,0.00001980674,0.00001238723,0.0000369907,0.00006074299,0.00004483647],"domain_scores_gemma":[0.9997037,0.00001717177,0.00006377329,0.00001137103,0.00007856257,0.000125456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001960062,0.0003762765,0.04272784,0.0001890337,0.00006421704,0.0001511057,0.0002148627,0.000350899,0.9416234,0.00003139734,0.0002603414,0.0120505],"study_design_scores_gemma":[0.0001780636,0.01401532,0.7882982,0.00002261659,0.0001253053,0.0001418782,0.0003765361,0.001072866,0.190721,0.00003482872,0.004994945,0.00001848893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998958,0.0002301123,0.00008068434,0.00002089642,0.000006589721,0.00002890331,0.0001358672,0.00001382887,0.000525163],"genre_scores_gemma":[0.9946708,0.0002896403,0.0005472956,0.00007177625,0.000008812398,0.00002710372,0.0008211153,0.000007119849,0.003556316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09845535,"threshold_uncertainty_score":0.1957646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076950893763964,"score_gpt":0.1953835310489177,"score_spread":0.1846140221112781,"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."}}