{"id":"W6942208620","doi":"10.1371/journal.pone.0287208.t002","title":"Summary of fit statistics for all models.","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":"Reliability (semiconductor); Variance (accounting); Measure (data warehouse); Chronic pain; Psychometrics; Explained variation; Oblique case","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":[0.05208249,0.008841465,0.006410242,0.008846737,0.003966237,0.006374929,0.007147927,0.003899089,0.211703],"category_scores_gemma":[0.2014847,0.002323524,0.01383179,0.009738596,0.002073247,0.008124279,0.005580002,0.00966776,0.03728087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699331,"about_ca_system_score_gemma":0.01141365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01751007,"about_ca_topic_score_gemma":0.01117174,"domain_scores_codex":[0.9576932,0.02498331,0.003159744,0.007932157,0.004822528,0.001409077],"domain_scores_gemma":[0.8405301,0.1388794,0.003978683,0.007265902,0.008343659,0.001002224],"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":[0.005129098,0.002150031,0.1038868,0.00829835,0.01383146,0.002525291,0.006643816,0.04822706,0.0009377314,0.04676147,0.4873517,0.2742571],"study_design_scores_gemma":[0.003957918,0.004120137,0.1265492,0.01154909,0.01925731,0.002832079,0.01931207,0.2503995,0.002080579,0.1372365,0.4211234,0.001582214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1553748,0.01005519,0.333013,0.008990007,0.005630902,0.02097321,0.354173,0.01968785,0.09210214],"genre_scores_gemma":[0.4238024,0.003884224,0.2942241,0.002174204,0.001073849,0.05187546,0.1823691,0.01186316,0.0287336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.211703,"threshold_uncertainty_score":0.7082171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09611627165235144,"score_gpt":0.2811577331592161,"score_spread":0.1850414615068647,"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."}}