{"id":"W6911947012","doi":"10.5281/zenodo.15199106","title":"Dataforms, Keys, and Codes for Bat Surveys","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada","funders":"","keywords":"Data collection; Identification (biology); Population; Code (set theory); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004071887,0.001481765,0.001386488,0.008133444,0.001048566,0.002068355,0.00240181,0.001381546,0.594788],"category_scores_gemma":[0.02710836,0.001453169,0.0008780901,0.01035418,0.0007111067,0.00426966,0.00334288,0.002127864,0.4288105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224964,"about_ca_system_score_gemma":0.002548692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006181415,"about_ca_topic_score_gemma":0.006475719,"domain_scores_codex":[0.9962232,0.000774543,0.001101118,0.0005722669,0.001000313,0.0003285206],"domain_scores_gemma":[0.9728405,0.009345627,0.00173199,0.00639162,0.008318959,0.001371262],"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":[0.0001374303,0.00003728786,0.0008339031,0.0004183291,0.000009013625,0.00002117872,0.00009651252,0.000143812,0.000397154,0.001620157,0.9661292,0.0301559],"study_design_scores_gemma":[0.00007598309,0.0000261492,0.002576875,0.0001785413,0.000008392001,0.00006585415,0.0001211935,0.0002717582,0.0005894111,0.003236601,0.9928153,0.00003392362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0009336641,0.0001440485,0.01571651,0.0005590473,0.0006789899,0.0008732807,0.9348681,0.01434985,0.03187649],"genre_scores_gemma":[0.005266188,0.0004075331,0.03534253,0.0008182262,0.0002701161,0.003764113,0.87551,0.01336898,0.06525234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.594788,"threshold_uncertainty_score":0.5779857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075510077841133,"score_gpt":0.2437454222938845,"score_spread":0.2029903215154732,"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."}}