{"id":"W6943438544","doi":"10.15468/dl.mg6vht","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); Information system","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":[0.0009126098,0.002008344,0.00157326,0.004888012,0.0009639785,0.002542986,0.002643096,0.001955124,0.1653708],"category_scores_gemma":[0.005996068,0.0008955589,0.001196,0.009710998,0.0004305788,0.002174919,0.00244772,0.001869271,0.2209728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522647,"about_ca_system_score_gemma":0.002250112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111702,"about_ca_topic_score_gemma":0.03453098,"domain_scores_codex":[0.9990067,0.0001327954,0.0001236721,0.0003602549,0.0002125032,0.0001642708],"domain_scores_gemma":[0.9976653,0.0006833061,0.0002260959,0.0005742669,0.0005883954,0.0002626801],"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":[0.00003050205,0.00001121785,0.0003937267,0.000571659,0.00001447329,0.0000145697,0.0000215356,0.0001318046,0.0001156059,0.0003641363,0.996831,0.001499904],"study_design_scores_gemma":[0.00007287561,0.000009399884,0.001799488,0.0001942038,0.00001464551,0.00003498625,0.00006354276,0.0001541285,0.0001768262,0.0007849488,0.996677,0.00001781376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000419083,0.00002776934,0.00004108733,0.00003498352,0.00001181109,0.000005054038,0.9988354,0.0003689706,0.0006330929],"genre_scores_gemma":[0.000167214,0.0000372723,0.0002072263,0.00005028141,0.000003763119,0.0000453383,0.9988084,0.0001593569,0.0005212682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346292,"threshold_uncertainty_score":0.5532206,"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."}}