{"id":"W4393750891","doi":"10.5281/zenodo.7593381","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bank Note Company (Canada); Ontario Neurotrauma Foundation","funders":"","keywords":"Occupancy; Scale (ratio); Environmental science; Geography; Forestry; 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":[0.0008374669,0.001196355,0.001258319,0.003260509,0.0005053662,0.001814861,0.001813448,0.001275702,0.03691077],"category_scores_gemma":[0.004251963,0.0004933498,0.0009502446,0.005024713,0.0003154053,0.000976919,0.001375328,0.001258499,0.0358282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128143,"about_ca_system_score_gemma":0.001460599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04146867,"about_ca_topic_score_gemma":0.08054543,"domain_scores_codex":[0.9993436,0.0001008204,0.00007419786,0.0002382197,0.0001589001,0.00008428439],"domain_scores_gemma":[0.9986307,0.0004110225,0.0001723103,0.0003276964,0.0003349173,0.0001234066],"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":[0.0001013542,0.00004024831,0.005103368,0.001033082,0.00007625859,0.00004046728,0.0000702712,0.0007517575,0.0001817125,0.0007559749,0.9880217,0.003823725],"study_design_scores_gemma":[0.0002310891,0.00002289092,0.02983859,0.0005575237,0.00006190943,0.0001153199,0.0001928632,0.0008560277,0.0004380097,0.001362856,0.9662729,0.00005015453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003900744,0.00005034679,0.00007542726,0.00003639863,0.00001625575,0.000006874928,0.9987918,0.0001901382,0.0004428528],"genre_scores_gemma":[0.001014889,0.00004009874,0.0003747313,0.00003074451,0.000004408046,0.00006273231,0.9978071,0.00008471339,0.0005806457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04146867,"threshold_uncertainty_score":0.1234788,"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."}}