{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001634861,0.0001044739,0.0001101795,0.00004047565,0.0002392145,0.00001181943,0.0003673279,0.00002814971,0.001468031],"category_scores_gemma":[0.00002589958,0.00009612257,0.00008544897,0.0002768293,0.0001951236,0.000168262,0.000131058,0.00008738903,0.0005975625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628021,"about_ca_system_score_gemma":0.00001648644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791818,"about_ca_topic_score_gemma":0.000428056,"domain_scores_codex":[0.9991535,0.00004663458,0.00007766679,0.0002062184,0.0003147885,0.0002011857],"domain_scores_gemma":[0.9994145,0.00002664685,0.00009276022,0.000319151,0.00001511513,0.0001318175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001943659,0.001628184,0.04038576,0.0000865613,0.0004374807,0.0004268211,0.004642514,0.674145,0.02547388,0.08267257,0.143456,0.02470149],"study_design_scores_gemma":[0.002193036,0.0000852313,0.9462262,0.000025274,0.0001266837,8.596851e-7,0.001164508,0.0008778844,0.00005652921,0.001153656,0.04788349,0.0002066482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683972,0.0001738473,0.05004998,0.03728214,0.0004541875,0.001377086,0.00008594008,0.0001771506,0.04200248],"genre_scores_gemma":[0.994364,0.00002987484,0.000321782,0.0008357784,0.00001628767,3.95497e-7,0.000006828313,0.000007071108,0.004418045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9058405,"threshold_uncertainty_score":0.9994448,"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."}}