{"id":"W6942029061","doi":"10.1371/journal.pone.0287437.s003","title":"List of study variables.","year":2023,"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":"Refugee; Odds; Government (linguistics); Syrian refugees; Health care; Odds ratio; Cohort; Logistic regression","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":[0.001507457,0.001042871,0.001747876,0.003019656,0.001772167,0.00160708,0.001815651,0.001597928,0.2789748],"category_scores_gemma":[0.01379757,0.0006146676,0.0007179987,0.005540256,0.0002690828,0.001891374,0.001080783,0.002498044,0.07184222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073914,"about_ca_system_score_gemma":0.007819192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02703821,"about_ca_topic_score_gemma":0.02170376,"domain_scores_codex":[0.9984823,0.0003542801,0.0003703513,0.0003479212,0.0002481635,0.0001970403],"domain_scores_gemma":[0.9961398,0.001400975,0.0005790655,0.0002611887,0.001266039,0.0003530229],"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":[0.0007065411,0.0003530528,0.04002597,0.005143975,0.0001307895,0.0002920949,0.0007565772,0.0001414192,0.0001157455,0.003838246,0.9067139,0.04178149],"study_design_scores_gemma":[0.00153186,0.0003878695,0.08304474,0.01333234,0.0002587939,0.001097801,0.004007493,0.0009950508,0.0001916006,0.01150244,0.8835152,0.0001348446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01058354,0.004782509,0.001948266,0.003678762,0.001047075,0.008407994,0.9190667,0.0003133144,0.05017186],"genre_scores_gemma":[0.1058111,0.01955196,0.01451581,0.01544582,0.002052992,0.1362072,0.619199,0.0007263175,0.08648959],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2789748,"threshold_uncertainty_score":0.9332637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04275952078388016,"score_gpt":0.2426638875198496,"score_spread":0.1999043667359695,"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."}}