{"id":"W6924789274","doi":"10.15468/dl.xbvc9y","title":"Occurrence Download","year":2021,"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); Lymantria dispar; Data set","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":[0.001015188,0.00198789,0.0016461,0.005649324,0.0009185129,0.00255129,0.002813469,0.002046731,0.1555902],"category_scores_gemma":[0.006122686,0.0009118784,0.001175139,0.01085816,0.0004301704,0.002201431,0.002483453,0.001982189,0.2058195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707374,"about_ca_system_score_gemma":0.002515009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227553,"about_ca_topic_score_gemma":0.03687014,"domain_scores_codex":[0.9988663,0.0001511963,0.0001548822,0.0003720001,0.0002670594,0.0001885338],"domain_scores_gemma":[0.9972045,0.0007714125,0.0002796835,0.0007310133,0.0006877161,0.0003256525],"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":[0.00003207304,0.00001116069,0.0003755357,0.0005483277,0.00001614599,0.00001390518,0.00001965427,0.0001347547,0.0001126152,0.0003557881,0.9969258,0.001454335],"study_design_scores_gemma":[0.00007945717,0.000008161664,0.001967301,0.0001894525,0.00001592565,0.00003453832,0.00006021372,0.0001545932,0.0001987012,0.0007066542,0.996567,0.00001793393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003317949,0.00002182325,0.00003057221,0.00003006874,0.000008873276,0.000004580322,0.999103,0.0002683747,0.0004996072],"genre_scores_gemma":[0.0001398916,0.0000306338,0.0001550434,0.0000378387,0.000003065401,0.00003547712,0.9990788,0.0001019182,0.0004172565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444098,"threshold_uncertainty_score":0.5205012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}