{"id":"W6961188967","doi":"10.1371/journal.pone.0298545.t007","title":"Panel quantile regression model results.","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Quantile; Index (typography); Panel data; Population; Kuznets curve; Consumption (sociology); Poverty","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":[0.01015632,0.001225066,0.001607767,0.001600411,0.0007639872,0.002477888,0.002617952,0.001663969,0.08005998],"category_scores_gemma":[0.02242859,0.0006588167,0.003334794,0.003727744,0.0004385881,0.001554859,0.001276367,0.003517208,0.0171075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380045,"about_ca_system_score_gemma":0.001893575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0471071,"about_ca_topic_score_gemma":0.02704673,"domain_scores_codex":[0.9947575,0.003459155,0.0001751407,0.0007380114,0.000445251,0.0004249226],"domain_scores_gemma":[0.9887804,0.007897676,0.0007649286,0.001032459,0.001376412,0.0001482798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009987339,0.0008201635,0.08914274,0.001304032,0.002767244,0.0009175873,0.0009953873,0.2837981,0.0004214667,0.1115214,0.3077274,0.1995859],"study_design_scores_gemma":[0.0002385493,0.000330521,0.0495825,0.0004333392,0.0007993606,0.0002465881,0.001385652,0.7733744,0.0007455694,0.05331572,0.1194236,0.0001241829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1318684,0.006642298,0.5711594,0.009656803,0.001877325,0.001507848,0.19516,0.01116843,0.07095955],"genre_scores_gemma":[0.7111125,0.002602756,0.1350674,0.001112888,0.0004700916,0.001527882,0.08973528,0.001768034,0.05660318],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.08005998,"threshold_uncertainty_score":0.2678273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09185774044235284,"score_gpt":0.2583466338125703,"score_spread":0.1664888933702174,"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."}}