{"id":"W6905711991","doi":"10.15468/dl.puxrr7","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","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":[0.001032709,0.002019457,0.001685954,0.00541627,0.001022103,0.002692753,0.002846336,0.002116875,0.1631571],"category_scores_gemma":[0.006194311,0.0009432223,0.001165462,0.01044138,0.0004609008,0.002414677,0.002631162,0.002060631,0.2290936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567569,"about_ca_system_score_gemma":0.002417296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039751,"about_ca_topic_score_gemma":0.0342325,"domain_scores_codex":[0.9988917,0.0001511214,0.0001406976,0.0003930673,0.0002431371,0.0001802769],"domain_scores_gemma":[0.9973424,0.0007559338,0.0002571396,0.0006865791,0.0006402096,0.000317634],"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":[0.00002930564,0.0000109283,0.0003574058,0.0005370073,0.00001436703,0.00001474653,0.00002293186,0.0001127313,0.0001102062,0.0003632068,0.99715,0.001277097],"study_design_scores_gemma":[0.00007654054,0.000008110527,0.001807255,0.0001882113,0.00001419712,0.00003733178,0.00007083178,0.000134127,0.0001783758,0.0007862175,0.9966808,0.00001801766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003810669,0.00002636487,0.00004159925,0.0000335998,0.00001107219,0.00000490859,0.9988971,0.0003499953,0.0005972637],"genre_scores_gemma":[0.0001548963,0.00003308655,0.0001815723,0.00004481659,0.000003455245,0.00004058929,0.9989285,0.0001472717,0.0004657818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368429,"threshold_uncertainty_score":0.5458149,"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."}}