{"id":"W6905908169","doi":"10.15468/dl.mkdhdv","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009379663,0.002037353,0.001583671,0.004682276,0.000966415,0.00253131,0.002672838,0.00200471,0.157125],"category_scores_gemma":[0.006059328,0.000889506,0.001223074,0.009330918,0.000431849,0.002115859,0.002399302,0.001845566,0.2119126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519877,"about_ca_system_score_gemma":0.002296438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160901,"about_ca_topic_score_gemma":0.03484948,"domain_scores_codex":[0.9989975,0.0001385448,0.0001236197,0.0003673713,0.0002079656,0.0001650062],"domain_scores_gemma":[0.9976861,0.0006926694,0.0002160222,0.0005730242,0.0005805902,0.000251563],"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":[0.00003163566,0.00001175096,0.0004024895,0.000582953,0.00001546532,0.00001453157,0.00002095823,0.0001349874,0.0001165095,0.0003496392,0.9969012,0.001417963],"study_design_scores_gemma":[0.00008430571,0.00001105154,0.001983682,0.0002054472,0.00001684773,0.00003732946,0.00006820665,0.0001787721,0.0001956276,0.000827486,0.9963717,0.0000194747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004285805,0.00002876176,0.00004037638,0.00003562578,0.00001210664,0.000005359011,0.9988888,0.0003693328,0.0005768397],"genre_scores_gemma":[0.0001690619,0.00003650404,0.0001993792,0.00004982954,0.000003853726,0.0000462889,0.9988636,0.0001445194,0.0004871661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842875,"threshold_uncertainty_score":0.5256355,"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."}}