{"id":"W4390523395","doi":"10.24908/ohi.v1i3.16941","title":"One Health Approach Utilizing Mycelium to Prevent Wildfires in Southeast Ontario","year":2023,"lang":"en","type":"article","venue":"One Health Innovation","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human health; Wildlife; Logging; Environmental science; Climate change; Slash (logging); Psychological intervention; Deforestation (computer science); Agroforestry; Environmental protection; Environmental resource management; Environmental health; Environmental planning; Geography; Ecology; Forestry; Medicine; Biology; Computer science","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":[0.000269685,0.0002173893,0.00009651421,0.0002018161,0.001892952,0.0005708067,0.0006917564,0.0002986333,0.002879224],"category_scores_gemma":[0.0002453557,0.00008464469,0.0001420804,0.0001194793,0.0007490805,0.000181582,0.0006608986,0.0003433396,0.0002166508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007472284,"about_ca_system_score_gemma":0.02190009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6143391,"about_ca_topic_score_gemma":0.9365017,"domain_scores_codex":[0.9998398,0.0000192468,0.000004357671,0.00002255412,0.00004502184,0.00006890348],"domain_scores_gemma":[0.9997808,0.00001157833,0.00002756149,0.000006259734,0.00004587227,0.0001279599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001534614,0.007082061,0.1563912,0.001080049,0.00006428445,0.002667406,0.01282234,0.001948366,0.160669,0.004216798,0.01691297,0.634611],"study_design_scores_gemma":[0.0007101689,0.008515856,0.7078812,0.0008181508,0.0002028048,0.00108298,0.03136341,0.003639565,0.04842573,0.002436927,0.1948066,0.0001165825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717353,0.0009584418,0.001647815,0.003380024,0.00006130464,0.0003336693,0.000125524,0.000073198,0.02168468],"genre_scores_gemma":[0.979573,0.001546263,0.006135043,0.0005013415,0.00001477446,0.0000716275,0.00009288412,0.000006817249,0.01205836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3856609,"threshold_uncertainty_score":0.7758642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1851394291300012,"score_gpt":0.3901858176848469,"score_spread":0.2050463885548457,"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."}}