{"id":"W4393890792","doi":"10.5281/zenodo.8136073","title":"D. viride occupancy in Compiegne forest at two spatial scales with temporal survey at fine scale, used in Percel et al. study","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bank Note Company (Canada); Ontario Neurotrauma Foundation","funders":"","keywords":"Occupancy; Scale (ratio); Environmental science; Spatial ecology; Geography; Cartography; Ecology; Biology","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":[0.0007850343,0.00121325,0.001166937,0.003082414,0.0005424109,0.001858653,0.00175027,0.001223854,0.04350534],"category_scores_gemma":[0.004162258,0.0005004014,0.0009343949,0.004530136,0.0003166352,0.00104367,0.001468392,0.001282911,0.0412352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249589,"about_ca_system_score_gemma":0.001391193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03408749,"about_ca_topic_score_gemma":0.06710791,"domain_scores_codex":[0.9993827,0.00009004282,0.00006728324,0.0002213602,0.000151612,0.00008688046],"domain_scores_gemma":[0.9986987,0.0003686176,0.000156382,0.0003567528,0.00030238,0.0001170542],"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":[0.00008640411,0.00003367441,0.004158131,0.0007651781,0.00005667688,0.00003187992,0.00006067907,0.0006237919,0.0001860502,0.0007923766,0.9896255,0.003579644],"study_design_scores_gemma":[0.0001897136,0.00001984865,0.02504075,0.0004670897,0.00004732864,0.0001069037,0.0001803349,0.0007705419,0.0005021479,0.001503024,0.9711236,0.00004881048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003512524,0.00004244473,0.00009618084,0.00003585655,0.00001884724,0.000008131182,0.9986816,0.0002547082,0.0005110402],"genre_scores_gemma":[0.001033364,0.00003623983,0.0004266815,0.00003083149,0.000004856522,0.00007572192,0.9976773,0.0001100611,0.0006049558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04350534,"threshold_uncertainty_score":0.1455399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.055249978877553,"score_gpt":0.2624425551287297,"score_spread":0.2071925762511767,"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."}}