{"id":"W6962682404","doi":"10.15468/dl.wdpjkz","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":[0.0009214929,0.002052091,0.001519737,0.00493138,0.0009678353,0.002484911,0.00259368,0.00200338,0.1522448],"category_scores_gemma":[0.005929995,0.0008721075,0.001227323,0.009841925,0.0004383346,0.00210048,0.00244198,0.001795411,0.2089279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478642,"about_ca_system_score_gemma":0.002295241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075786,"about_ca_topic_score_gemma":0.03315672,"domain_scores_codex":[0.9989649,0.000145361,0.0001348424,0.0003712213,0.0002118872,0.0001718019],"domain_scores_gemma":[0.9975938,0.0007067632,0.0002327953,0.00060042,0.0006014968,0.0002645909],"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":[0.00003432509,0.00001231511,0.0004442056,0.0005833032,0.00001515022,0.00001582094,0.00002172192,0.000141373,0.000126153,0.0003556593,0.9967405,0.001509516],"study_design_scores_gemma":[0.00008347606,0.00001167585,0.002044694,0.0002103102,0.00001630766,0.00003904229,0.00007306891,0.0001754195,0.0002052813,0.0008062943,0.9963147,0.00001967683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004657952,0.00002789074,0.00003698325,0.00003370904,0.00001220429,0.000005101277,0.9989204,0.0003372129,0.0005798222],"genre_scores_gemma":[0.0001660761,0.00003526982,0.000183496,0.00004455768,0.000003659604,0.00004152718,0.9989578,0.0001265269,0.0004410826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8477552,"threshold_uncertainty_score":0.5093095,"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."}}