{"id":"W6942147241","doi":"10.1371/journal.pone.0186525.t002","title":"Candidate model set with varying fixed effects structures&lt;sup&gt;*&lt;/sup&gt; and top-model selected random effects structures for three seasons, describing selection of landscape variables by wolves in northern Ontario, Canada, 2010–2014.","year":2017,"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":"Selection (genetic algorithm); Set (abstract data type); Random effects model; Random variable; Data set; Model selection; Random forest","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":[0.002221571,0.001767021,0.001854521,0.001713647,0.001542903,0.001728707,0.004919043,0.002139264,0.07083108],"category_scores_gemma":[0.0144596,0.001115003,0.002563919,0.003037373,0.0005831231,0.0009625683,0.001519093,0.001820412,0.02536536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0062983,"about_ca_system_score_gemma":0.01693937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6486964,"about_ca_topic_score_gemma":0.8346213,"domain_scores_codex":[0.9990402,0.0002242158,0.00009961364,0.0003165216,0.0001781742,0.0001413542],"domain_scores_gemma":[0.9940053,0.002610383,0.0003322688,0.0008165963,0.00180622,0.0004293064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000162848,0.00004081658,0.007110369,0.001245781,0.0002503728,0.00005045176,0.00006319257,0.001916216,0.00009756945,0.0007647786,0.9853355,0.002962104],"study_design_scores_gemma":[0.002402859,0.00005061418,0.03855644,0.001454328,0.0006533837,0.0001125577,0.0003437794,0.004390903,0.0003027586,0.00265461,0.9489654,0.0001123164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003883771,0.0001076053,0.0002051809,0.0001179811,0.00002281843,0.00002245642,0.9985616,0.0001608927,0.000413126],"genre_scores_gemma":[0.002481594,0.00007737905,0.0008204818,0.00009300784,0.000009966182,0.0002669897,0.9950292,0.0001059446,0.001115529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3513036,"threshold_uncertainty_score":0.706745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284057788269813,"score_gpt":0.2017722409115809,"score_spread":0.1889316630288827,"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."}}