{"id":"W6940132185","doi":"10.6084/m9.figshare.c.6096773.v1","title":"Does group-based trajectory modeling estimate spurious trajectories?","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"","keywords":"Spurious relationship; Trajectory; Bayes' theorem; Entropy (arrow of time); Posterior probability; Bayesian probability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04274392,0.001001794,0.001460336,0.002039566,0.001221752,0.002411262,0.002232664,0.001712198,0.004117968],"category_scores_gemma":[0.2036244,0.0004230512,0.001970263,0.001861204,0.002245923,0.003331912,0.00198582,0.001757383,0.000549181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427064,"about_ca_system_score_gemma":0.001670669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009795339,"about_ca_topic_score_gemma":0.006469292,"domain_scores_codex":[0.9785854,0.01752113,0.0006204408,0.002278912,0.0006903081,0.0003038606],"domain_scores_gemma":[0.7862017,0.1860971,0.01088634,0.01276986,0.003307919,0.0007371392],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001308245,0.0002071796,0.4405397,0.0009054277,0.002982933,0.0005893731,0.002859124,0.3361562,0.0008892243,0.05960038,0.004337824,0.1496244],"study_design_scores_gemma":[0.00009575979,0.0002208056,0.0266789,0.0003245647,0.0003489534,0.0002899585,0.000709411,0.7873262,0.0008093826,0.1795923,0.003532261,0.00007139301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.306261,0.000861032,0.6861232,0.002355423,0.0001702784,0.0002872664,0.0008651058,0.0005664463,0.002510237],"genre_scores_gemma":[0.9242978,0.0001530046,0.07413568,0.0002364722,0.00003678496,0.0002197493,0.0004729518,0.00009694707,0.0003506355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9572561,"threshold_uncertainty_score":0.2260542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174778923480847,"score_gpt":0.2263951008682045,"score_spread":0.2046473116333961,"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."}}