{"id":"W6941978239","doi":"10.1371/journal.pone.0298545.s001","title":"S1 File -","year":2024,"lang":"en","type":"article","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":"Quantile regression; Quantile; Index (typography); Population; Kuznets curve; Consumption (sociology); Energy consumption; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002905102,0.001232435,0.001736224,0.003172324,0.002072875,0.00343571,0.003263082,0.001962203,0.9186808],"category_scores_gemma":[0.03620742,0.001012017,0.0008921454,0.006533072,0.0004959166,0.003862951,0.002652556,0.001904029,0.578055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674865,"about_ca_system_score_gemma":0.004393917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465642,"about_ca_topic_score_gemma":0.01610881,"domain_scores_codex":[0.9986953,0.0002280888,0.0001756645,0.0003232564,0.0003479551,0.0002296137],"domain_scores_gemma":[0.9828824,0.009239173,0.0007343693,0.001426208,0.004945373,0.0007725034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001130462,0.00004021497,0.0005137026,0.0006444341,0.000006413394,0.00002692444,0.00005625782,0.00009752366,0.0000390081,0.0005260061,0.9908336,0.007102881],"study_design_scores_gemma":[0.000570267,0.0000961747,0.004106104,0.001390882,0.00002253569,0.0001195375,0.0008220596,0.0005327507,0.0003157702,0.004763591,0.9872029,0.00005742366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000218572,0.00004339172,0.0003544619,0.0003522116,0.0001579145,0.0002874832,0.9889913,0.0007830703,0.008811609],"genre_scores_gemma":[0.005103088,0.0003728381,0.005071306,0.00179277,0.000158809,0.003885861,0.9235991,0.002369493,0.05764676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08131915,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441211340004432,"score_gpt":0.2176440742509419,"score_spread":0.1932319608508976,"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."}}