{"id":"W6905586524","doi":"10.15468/dl.mp9syj","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":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.001182921,0.002056471,0.001706163,0.005407831,0.001091155,0.002830256,0.00305761,0.002161808,0.1720534],"category_scores_gemma":[0.006823642,0.001014953,0.001216728,0.01049411,0.0004819781,0.002487356,0.002733079,0.002107594,0.2417985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017308,"about_ca_system_score_gemma":0.002589665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259731,"about_ca_topic_score_gemma":0.03687461,"domain_scores_codex":[0.9987903,0.0001637092,0.0001608309,0.0004205605,0.0002713194,0.0001931869],"domain_scores_gemma":[0.9971274,0.000836235,0.0002670762,0.0007395582,0.0007065575,0.0003232671],"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":[0.00002718861,0.00001050506,0.0003303689,0.0005177752,0.00001461296,0.00001398792,0.00002355579,0.0001116871,0.0001105921,0.0003700874,0.9971643,0.00130539],"study_design_scores_gemma":[0.0000672222,0.000007288468,0.001617482,0.0001943374,0.00001432068,0.00003540109,0.00007071313,0.0001340512,0.0001806879,0.0007487334,0.9969119,0.00001782989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003339343,0.00002444547,0.00004556804,0.00003364526,0.00001118619,0.000004931487,0.9988893,0.0003642255,0.0005932816],"genre_scores_gemma":[0.0001343553,0.00003143098,0.0001897522,0.0000420615,0.00000308203,0.00003957509,0.9989775,0.0001566452,0.0004255908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279466,"threshold_uncertainty_score":0.5755759,"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."}}