{"id":"W6943224868","doi":"10.15468/dl.sc3nbj","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); Task (project management)","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":[0.001073157,0.001960076,0.001620885,0.00513331,0.0011332,0.002725357,0.002850609,0.002195132,0.1685756],"category_scores_gemma":[0.006499234,0.0009599027,0.001208751,0.009673437,0.000468108,0.002375567,0.002723183,0.002069662,0.2291582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691509,"about_ca_system_score_gemma":0.002468042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233188,"about_ca_topic_score_gemma":0.03696109,"domain_scores_codex":[0.9988593,0.0001467125,0.0001470853,0.0004017717,0.0002607518,0.0001844166],"domain_scores_gemma":[0.9973296,0.0007643855,0.0002413212,0.0006979663,0.0006720328,0.0002945937],"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":[0.00002820329,0.00001158072,0.0003983595,0.000542407,0.00001436843,0.00001682785,0.00002747398,0.0001166859,0.0001334407,0.0003953688,0.9969343,0.001381007],"study_design_scores_gemma":[0.00006455034,0.00000772538,0.001861296,0.0001960452,0.00001405312,0.00003966388,0.00007978737,0.0001476629,0.0001920633,0.0007295256,0.9966491,0.00001847381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004122638,0.0000241407,0.00004715188,0.00003631009,0.00001213879,0.000005250717,0.9987978,0.0003853217,0.0006506969],"genre_scores_gemma":[0.0001616983,0.00003057837,0.0002164301,0.00004514103,0.000003295633,0.00004357821,0.9988575,0.0001694333,0.0004723186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8314244,"threshold_uncertainty_score":0.5639417,"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."}}