{"id":"W6941815197","doi":"10.1371/journal.pone.0287437.s004","title":"Dataset creation and analysis plan.","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01264388,0.001326982,0.001865762,0.005754187,0.001718184,0.003419916,0.00362203,0.002589372,0.39075],"category_scores_gemma":[0.05990124,0.001473587,0.002728593,0.00635898,0.0007508408,0.001965286,0.003331448,0.002824323,0.09361907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002939313,"about_ca_system_score_gemma":0.01803354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03804812,"about_ca_topic_score_gemma":0.06725136,"domain_scores_codex":[0.99544,0.001314624,0.001093879,0.001109157,0.0005898059,0.0004525475],"domain_scores_gemma":[0.9777765,0.008667379,0.00157407,0.003906679,0.006555821,0.001519621],"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":[0.0007361895,0.00008056915,0.003147705,0.007519061,0.0002198308,0.0001034325,0.0003244046,0.0005548673,0.0002526041,0.003165352,0.9604356,0.02346037],"study_design_scores_gemma":[0.003572662,0.0001957325,0.009126026,0.01001226,0.0004763601,0.0001431482,0.0007761791,0.001281548,0.0004044983,0.01110358,0.96275,0.0001580456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003541211,0.0001182195,0.00229317,0.00054721,0.0002165848,0.006040809,0.9874559,0.0004790877,0.002494781],"genre_scores_gemma":[0.004457687,0.000479433,0.03786516,0.002048387,0.0001687142,0.2065956,0.7374032,0.0009029601,0.01007896],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.60925,"threshold_uncertainty_score":0.8690212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361528937278664,"score_gpt":0.2530970550042024,"score_spread":0.2094817656314157,"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."}}