{"id":"W6887210680","doi":"10.15468/dl.twvvk2","title":"Occurrence Download","year":2020,"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); Danaus; Set (abstract data type)","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":[0.001031302,0.001957976,0.001561058,0.005242446,0.0009609922,0.002581895,0.002943431,0.001979822,0.1686681],"category_scores_gemma":[0.006566492,0.0009431788,0.001226308,0.01050652,0.0004622483,0.00233779,0.002488255,0.001996299,0.2148255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748443,"about_ca_system_score_gemma":0.002475833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02555592,"about_ca_topic_score_gemma":0.03551945,"domain_scores_codex":[0.9989818,0.0001302118,0.0001281,0.0003512644,0.0002381051,0.0001704967],"domain_scores_gemma":[0.9974082,0.0007449812,0.0002355129,0.0006844205,0.0006196799,0.00030708],"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":[0.00002916625,0.00001123246,0.0003885299,0.0005018401,0.00001420422,0.00001500822,0.00002315666,0.000135897,0.0001008834,0.0003520543,0.9969767,0.001451287],"study_design_scores_gemma":[0.00007641301,0.000008584469,0.002154843,0.0001880858,0.00001532981,0.00003837091,0.00007865013,0.0001876809,0.0002092224,0.0007412813,0.996283,0.00001850507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003807694,0.00002271779,0.0000391874,0.00003538201,0.00001105398,0.000004904869,0.9988893,0.0003866098,0.000572752],"genre_scores_gemma":[0.0001595479,0.00002940389,0.0001759352,0.00003988975,0.000003109915,0.00003932127,0.9989246,0.0001453386,0.0004829331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313318,"threshold_uncertainty_score":0.5642511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}