{"id":"W6887080030","doi":"10.15468/dl.ruezk8","title":"Occurrence Download","year":2023,"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); Alien","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":[0.0009852035,0.00184218,0.001504248,0.004826159,0.0009178683,0.002436559,0.002653183,0.001961846,0.1430478],"category_scores_gemma":[0.005574599,0.000860646,0.00114893,0.009626216,0.0004331415,0.002114966,0.002340572,0.001916476,0.2075004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591502,"about_ca_system_score_gemma":0.002304041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338596,"about_ca_topic_score_gemma":0.03747348,"domain_scores_codex":[0.9990051,0.0001370176,0.0001235351,0.0003477263,0.0002209412,0.0001657591],"domain_scores_gemma":[0.9976209,0.0006889891,0.0002291093,0.0006019866,0.0005883204,0.0002707932],"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":[0.0000281026,0.00001158498,0.0004140103,0.0005024708,0.0000146236,0.00001455081,0.00002247672,0.0001298613,0.0001180051,0.0003675671,0.996979,0.001397914],"study_design_scores_gemma":[0.00007053019,0.000008723859,0.002170644,0.0001916602,0.0000144418,0.00003650142,0.00007746957,0.0001510938,0.0001964721,0.0007375677,0.996327,0.00001782658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004288784,0.00002416342,0.00003790499,0.00003319439,0.00001026884,0.000004624092,0.9989666,0.0003055581,0.0005748841],"genre_scores_gemma":[0.0001645571,0.00003010779,0.0001727036,0.00003987493,0.00000318967,0.00003848473,0.9989906,0.0001203485,0.0004401745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8569522,"threshold_uncertainty_score":0.4785427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}