{"id":"W6887321562","doi":"10.15468/dl.xwvu52","title":"Occurrence Download","year":2023,"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); Alien","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":[0.001097712,0.001958098,0.001638275,0.005159253,0.001013097,0.002644666,0.002830359,0.002114643,0.1576075],"category_scores_gemma":[0.00605998,0.0008985715,0.001225542,0.009984564,0.0004535663,0.002317936,0.002509998,0.002068339,0.2226542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668183,"about_ca_system_score_gemma":0.002417586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186305,"about_ca_topic_score_gemma":0.03538859,"domain_scores_codex":[0.9988989,0.0001577669,0.0001393962,0.0003782062,0.0002417631,0.0001839477],"domain_scores_gemma":[0.9973198,0.0007946924,0.0002524011,0.0006914691,0.0006411393,0.000300475],"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":[0.00002932746,0.00001170919,0.0003665089,0.0005428563,0.00001535423,0.00001425176,0.00002212765,0.0001251124,0.0001110143,0.0003740288,0.9970181,0.001369669],"study_design_scores_gemma":[0.00007353249,0.000008632792,0.001949958,0.0002083436,0.0000153643,0.00003600209,0.00007229037,0.0001455817,0.0001938029,0.0008286097,0.9964492,0.00001851727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003735695,0.00002593243,0.00004063156,0.00003402235,0.00001120447,0.000004967705,0.9989386,0.0003228129,0.0005845256],"genre_scores_gemma":[0.0001476163,0.00003283842,0.0001784707,0.00004295618,0.000003436115,0.00004114023,0.9989784,0.000131103,0.000443974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423925,"threshold_uncertainty_score":0.5272496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}