{"id":"W6906014364","doi":"10.15468/dl.n9cu5v","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009227747,0.001931313,0.001614643,0.005292965,0.0009161007,0.002474961,0.002767966,0.001968183,0.1684881],"category_scores_gemma":[0.005688067,0.0009085333,0.001117938,0.01054922,0.000424897,0.002289995,0.00250949,0.001876078,0.214361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584288,"about_ca_system_score_gemma":0.002396862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176254,"about_ca_topic_score_gemma":0.03479211,"domain_scores_codex":[0.9990329,0.0001276885,0.0001260499,0.000330496,0.0002163755,0.0001666067],"domain_scores_gemma":[0.997703,0.0006296954,0.0002403786,0.0005645379,0.0005726346,0.000289709],"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":[0.00003083899,0.00001091489,0.0004037754,0.0005572098,0.00001629753,0.00001537442,0.00002289589,0.0001365781,0.0001193208,0.0003804736,0.9968448,0.001461434],"study_design_scores_gemma":[0.00007486956,0.000007737494,0.001928955,0.000186187,0.00001473677,0.00003557137,0.00006754471,0.0001380681,0.0001820756,0.0007685442,0.9965778,0.00001785579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003668249,0.00002342459,0.0000371042,0.00002964916,0.00001007943,0.000004219719,0.9990079,0.0003043629,0.0005465986],"genre_scores_gemma":[0.0001579899,0.00003207376,0.0001815517,0.00003930321,0.000003315685,0.00003675196,0.9989629,0.0001305144,0.0004555717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315119,"threshold_uncertainty_score":0.5636488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}