{"id":"W6960921178","doi":"10.1371/journal.pone.0306600.t002","title":"Descriptive statistics and p-values from full logistic regression models predicting RT-PCR positivity for <i>Echinococcus</i> spp. or for <i>E</i>. <i>multilocularis</i> according to species, sex, projected coordinates and inclusion in high-risk area in wild canids collected in Québec, Canada (2020–2021).","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Descriptive statistics; Regression; Regression analysis; Cross-sectional regression; Linear 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":[0.002099862,0.000941647,0.0009803856,0.002204345,0.0007345183,0.001184063,0.002019974,0.001091671,0.06782497],"category_scores_gemma":[0.01825412,0.0004036551,0.001190874,0.005417249,0.0003053227,0.0007731436,0.0007187154,0.001087732,0.01811994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434401,"about_ca_system_score_gemma":0.005912052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3394232,"about_ca_topic_score_gemma":0.4564397,"domain_scores_codex":[0.9988149,0.0001862053,0.0001745101,0.0003676618,0.0002686171,0.000188033],"domain_scores_gemma":[0.9877913,0.006636085,0.0007846165,0.0008889111,0.003580068,0.0003190825],"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":[0.0001448225,0.0000357848,0.03009165,0.001122227,0.000179326,0.00005122906,0.00004919547,0.001073594,0.00008420435,0.0004521714,0.9611683,0.005547506],"study_design_scores_gemma":[0.0007836526,0.00007523649,0.2261015,0.002401306,0.0006391462,0.0002389652,0.0007555953,0.00309345,0.0003496817,0.002678036,0.7627336,0.0001499033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005606951,0.00006912151,0.0000917308,0.00006988522,0.00001446058,0.00001176991,0.9987092,0.00005919192,0.000413921],"genre_scores_gemma":[0.006921106,0.0001552343,0.000702932,0.000143543,0.00001604882,0.0002412985,0.9900702,0.00008343428,0.001666145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6605768,"threshold_uncertainty_score":0.6748952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148925613349371,"score_gpt":0.2472867373480681,"score_spread":0.2157974812145744,"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."}}