{"id":"W7084407596","doi":"10.5281/zenodo.17235865","title":"Data from: From Ground to Canopy: A Molecularly Verified Herpetofaunal Inventory of a Madagascar Protected Area","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Web site; Code (set theory); Protected area; Centroid; Global Positioning System; Data file","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":[0.001003627,0.001202864,0.0008719084,0.002754058,0.0007149735,0.001566447,0.001725585,0.001295966,0.05727113],"category_scores_gemma":[0.004027909,0.0005472385,0.0006184558,0.004904226,0.0003113238,0.0008672498,0.001613243,0.00116415,0.04940624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386582,"about_ca_system_score_gemma":0.002019319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03201166,"about_ca_topic_score_gemma":0.04761957,"domain_scores_codex":[0.9992813,0.0000997629,0.0001128875,0.000195803,0.0001870449,0.0001231549],"domain_scores_gemma":[0.9979196,0.0004285719,0.0003667695,0.000397742,0.0006620423,0.0002252946],"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":[0.00008703265,0.00003365522,0.003591798,0.000829956,0.00003653815,0.00004202215,0.00007316579,0.0002746182,0.0002862366,0.0005515052,0.9908694,0.003324123],"study_design_scores_gemma":[0.0002141935,0.00002373502,0.02900945,0.0004064236,0.00003565781,0.00007791597,0.0001911641,0.0002570942,0.0004936945,0.0006237855,0.9686303,0.00003651089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002496316,0.00001836329,0.00003071078,0.00002657473,0.000007023526,0.000008298015,0.9992042,0.00006777517,0.0003873899],"genre_scores_gemma":[0.0006491107,0.0000230537,0.0002151013,0.00002882603,0.000003336168,0.00008185631,0.9984224,0.00002803026,0.0005484171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05727113,"threshold_uncertainty_score":0.191591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09891581384475963,"score_gpt":0.2406999014264008,"score_spread":0.1417840875816411,"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."}}