{"id":"W7108715836","doi":"10.5061/dryad.b8gtht7s3","title":"Optimising fire and predator management for conservation","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Relative species abundance; Abundance (ecology); Threatened species; Predation; Biodiversity; Predator; Prescribed burn; Traffic intensity","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":[],"consensus_categories":[],"category_scores_codex":[0.001782977,0.0004923036,0.0006007703,0.0006988342,0.0004093785,0.001708796,0.000810575,0.0008431342,0.003015237],"category_scores_gemma":[0.002861033,0.0003417678,0.0004996429,0.0006460696,0.0004293073,0.001266915,0.0006609956,0.0006791668,0.0004483237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129331,"about_ca_system_score_gemma":0.001653686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00919111,"about_ca_topic_score_gemma":0.03058066,"domain_scores_codex":[0.999529,0.0002105029,0.00002417617,0.00009653126,0.00006127048,0.00007848849],"domain_scores_gemma":[0.9993145,0.0002716561,0.0002026575,0.0000407868,0.00007689701,0.00009337188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004632701,0.0004853332,0.1129749,0.0009006417,0.0005719676,0.0002284853,0.0004254833,0.5143915,0.01628886,0.01163644,0.004351663,0.3372814],"study_design_scores_gemma":[0.0001934122,0.0008741299,0.09607913,0.000510836,0.0004732744,0.0003157375,0.001752306,0.8251013,0.00501084,0.04557836,0.02399713,0.0001136148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7464455,0.009097118,0.2153324,0.00473687,0.0002589989,0.0003257291,0.0009104509,0.0005088687,0.02238402],"genre_scores_gemma":[0.9329828,0.001595733,0.06245759,0.0003351287,0.00004928246,0.000125851,0.0003298548,0.00005723106,0.002066442],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.00919111,"threshold_uncertainty_score":0.0182752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04953248874884032,"score_gpt":0.3477159748982585,"score_spread":0.2981834861494181,"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."}}