{"id":"W6942191753","doi":"10.1371/journal.pone.0284914.t001","title":"Slopes.","year":2023,"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":"Hepatocellular carcinoma; Interrupted time series; Population; Interrupted Time Series Analysis; Health policy; Subgroup analysis","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":[0.001068479,0.001176051,0.0008461669,0.002220475,0.002551472,0.006221322,0.002157422,0.002497237,0.6553035],"category_scores_gemma":[0.004116944,0.0005560404,0.0009176556,0.002730313,0.0007953262,0.003238965,0.003115405,0.002258074,0.5551267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003292931,"about_ca_system_score_gemma":0.005487978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03276054,"about_ca_topic_score_gemma":0.03627617,"domain_scores_codex":[0.9983682,0.0001851965,0.00009917897,0.0004191356,0.0006841469,0.0002441877],"domain_scores_gemma":[0.9975804,0.0002310346,0.0001047629,0.0003376328,0.001291804,0.0004542363],"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":[0.000198444,0.00009925885,0.002761922,0.0004992313,0.00002479912,0.0002182902,0.0003427639,0.0003123768,0.0006742148,0.02380045,0.7247543,0.2463139],"study_design_scores_gemma":[0.00001450744,0.00001124925,0.0008836337,0.00008757218,0.000005323303,0.00007600157,0.0001227898,0.0001404728,0.0001753378,0.001730612,0.9967428,0.000009656997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002533661,0.002149149,0.004891165,0.006283741,0.002491908,0.0003243892,0.02378605,0.004776982,0.9527628],"genre_scores_gemma":[0.01901664,0.002946752,0.005437555,0.00303097,0.0005269799,0.0002817405,0.02681725,0.002221365,0.9397207],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6553035,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972580716158527,"score_gpt":0.2393653426237404,"score_spread":0.1996395354621552,"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."}}