{"id":"W6906081218","doi":"10.15468/dl.wktgzm","title":"Occurrence Download","year":2022,"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); Confidentiality","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":[0.0009912555,0.001964856,0.001691436,0.00541839,0.0009600203,0.002718467,0.002751419,0.002012006,0.1737232],"category_scores_gemma":[0.005995872,0.000927616,0.001149392,0.01078938,0.0004497328,0.002361657,0.002644269,0.001957105,0.2350992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501678,"about_ca_system_score_gemma":0.002198736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01917303,"about_ca_topic_score_gemma":0.03218627,"domain_scores_codex":[0.9989809,0.0001375577,0.0001356047,0.000356684,0.000220727,0.0001684429],"domain_scores_gemma":[0.997494,0.0007220304,0.00024615,0.0006406108,0.0006056551,0.0002916048],"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":[0.00002907289,0.00001071246,0.0003732957,0.0006140936,0.00001581322,0.00001553904,0.00002502182,0.0001225782,0.0001163082,0.0003758745,0.9968504,0.001451349],"study_design_scores_gemma":[0.0000701387,0.000007338134,0.001735236,0.0001950006,0.00001400212,0.00003435055,0.00007252563,0.000125005,0.0001657313,0.0007302113,0.9968331,0.00001735748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003703754,0.00002562838,0.0000416215,0.00003042998,0.00001068598,0.00000479202,0.9989282,0.0003308382,0.000590689],"genre_scores_gemma":[0.0001589806,0.0000350962,0.0001955455,0.00004237037,0.000003553265,0.00004218695,0.9988829,0.0001570931,0.0004823192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262768,"threshold_uncertainty_score":0.5811621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}