{"id":"W6905603657","doi":"10.15468/dl.456pyj","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); Column (typography)","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":[0.0009578317,0.001770798,0.001390689,0.004739358,0.0008705105,0.002224348,0.002557288,0.001782556,0.1647678],"category_scores_gemma":[0.005655278,0.0008659633,0.001115599,0.009238632,0.0004136472,0.002194076,0.002367064,0.001809041,0.2011781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516648,"about_ca_system_score_gemma":0.002244522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130085,"about_ca_topic_score_gemma":0.0345203,"domain_scores_codex":[0.9990563,0.0001279577,0.0001205717,0.0003162932,0.0002184307,0.0001605593],"domain_scores_gemma":[0.99771,0.0006381224,0.0002222268,0.0006031811,0.0005650988,0.0002614041],"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":[0.00002802744,0.00001076977,0.0004253488,0.0004383997,0.00001445548,0.00001377861,0.00002093578,0.0001592374,0.0001159728,0.0003746504,0.996893,0.001505419],"study_design_scores_gemma":[0.00007292013,0.000008823803,0.002064439,0.00016881,0.00001411417,0.00003459258,0.00007346444,0.0001896722,0.0002099078,0.0008467241,0.9962992,0.00001732983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004353732,0.00002017582,0.00004727054,0.00003222437,0.00001079815,0.000004951919,0.998884,0.0003673111,0.000589721],"genre_scores_gemma":[0.0001699719,0.00002617562,0.0002029573,0.00003809973,0.000003095039,0.00003708959,0.9989202,0.0001402926,0.0004622174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352322,"threshold_uncertainty_score":0.5512031,"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."}}