{"id":"W6906208736","doi":"10.15468/dl.zcuasw","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); Order (exchange)","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":[0.001019013,0.002024925,0.001649925,0.004843525,0.001031636,0.002579723,0.002904866,0.002073181,0.1635825],"category_scores_gemma":[0.005844985,0.0009504474,0.001235152,0.009867507,0.0004643372,0.002207444,0.002625879,0.002020171,0.2241164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688575,"about_ca_system_score_gemma":0.002508909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0259947,"about_ca_topic_score_gemma":0.04033199,"domain_scores_codex":[0.9989905,0.000132291,0.0001255086,0.0003487678,0.0002339984,0.0001689455],"domain_scores_gemma":[0.9977143,0.0006374172,0.000210059,0.0006025881,0.0005672921,0.0002683423],"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":[0.00002941638,0.00001086115,0.0003606132,0.000528636,0.0000153063,0.00001496845,0.00002689906,0.0001240458,0.0001271049,0.0003952376,0.9970367,0.001330264],"study_design_scores_gemma":[0.00007320914,0.000007516187,0.001804013,0.0001863937,0.000014642,0.00003528891,0.00007378403,0.0001461066,0.0001941769,0.0007283723,0.9967189,0.00001747057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003876818,0.00002477477,0.00004506096,0.00003219068,0.00001098016,0.000005149999,0.9987968,0.0004192499,0.0006269828],"genre_scores_gemma":[0.0001522848,0.00002977243,0.0001896542,0.00004071571,0.000002840005,0.00004159945,0.9989542,0.0001642067,0.0004247415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364175,"threshold_uncertainty_score":0.5472381,"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."}}