{"id":"W4403383398","doi":"10.32920/27216597","title":"To the Root of the Problem: Preventing Excess Copper Waste and Remediation, by Targeted Treatment of Downy Mildew in Grape Crops (Second Report, 2021)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downy mildew; Environmental remediation; Agronomy; Copper; Environmental science; Biology; Chemistry; Contamination","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":[0.001419602,0.0008645814,0.0002948309,0.001080921,0.002072623,0.002015554,0.00147921,0.00254843,0.0250263],"category_scores_gemma":[0.000994974,0.0004111418,0.0006223723,0.0004637066,0.0007028058,0.001056456,0.0008637745,0.001739195,0.008571267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004646201,"about_ca_system_score_gemma":0.01720174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3495718,"about_ca_topic_score_gemma":0.5232083,"domain_scores_codex":[0.9985747,0.00005965832,0.00002727312,0.0001079984,0.00100452,0.000225767],"domain_scores_gemma":[0.9980629,0.00005382337,0.0000663087,0.00006225676,0.00137417,0.0003804956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001603579,0.0003177112,0.001375324,0.0003136663,0.00002297809,0.0001961646,0.0001257889,0.000407916,0.03257737,0.001220185,0.8483976,0.1148849],"study_design_scores_gemma":[0.0001099467,0.0004869605,0.007248212,0.0001380584,0.00004558451,0.0001653887,0.0002768034,0.0009838149,0.03295334,0.0005422422,0.9570178,0.00003198474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06230851,0.03799835,0.02434039,0.1252085,0.01394312,0.005286694,0.01970174,0.007819578,0.7033931],"genre_scores_gemma":[0.08188891,0.01639999,0.01373491,0.01629827,0.0006766569,0.0004962995,0.01039383,0.0006057753,0.8595054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3495718,"threshold_uncertainty_score":0.6950741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217676714698262,"score_gpt":0.2614881076395553,"score_spread":0.2397204361697291,"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."}}