{"id":"W6942002810","doi":"10.1371/journal.pone.0250575.t006","title":"Accuracy of Random Forest regression models (<i>Y</i><sub><i>t</i></sub>, <i>Y</i><sub>t+1</sub> for yield, <i>t</i> for current year, <i>F</i><sub><i>t</i></sub> for fertilization regime, and C<sub><i>t</i></sub> for tissue composition) using the Quebec 2014–2018 fertilization trials with cultivar “Stevens”.","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human fertilization; Cultivar; Current (fluid); Regression analysis; Regression","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":[0.005021591,0.001114121,0.0008146309,0.001267337,0.0006716755,0.001385976,0.0017725,0.0008666058,0.006260456],"category_scores_gemma":[0.01278125,0.0003579526,0.001754714,0.001355525,0.0003847331,0.001180875,0.0004844139,0.001161996,0.004120128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005987585,"about_ca_system_score_gemma":0.004156007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7202619,"about_ca_topic_score_gemma":0.7704942,"domain_scores_codex":[0.9974781,0.0006456655,0.0001272832,0.001150767,0.0004176563,0.0001806571],"domain_scores_gemma":[0.9919738,0.003748108,0.0004354826,0.0007127866,0.002961196,0.0001686422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003509491,0.0004378361,0.2037264,0.0009181925,0.001856525,0.0002864423,0.0006976781,0.3511086,0.01530206,0.00410498,0.1119075,0.3061444],"study_design_scores_gemma":[0.0002336755,0.0002761109,0.2655708,0.0003236034,0.0007729283,0.0001690713,0.0006099201,0.6469281,0.01304908,0.002564213,0.0691446,0.0003579198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7099972,0.004567059,0.1098936,0.001831751,0.000838189,0.0003907365,0.1101319,0.01226384,0.05008571],"genre_scores_gemma":[0.9049427,0.0003990293,0.02747934,0.000304158,0.0000315125,0.0001499993,0.04489606,0.001806629,0.01999056],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2797381,"threshold_uncertainty_score":0.5627711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255193927347685,"score_gpt":0.2853157954462557,"score_spread":0.2327638561727789,"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."}}