{"id":"W6906216314","doi":"10.15468/dl.z6xmy4","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); Alien; The Internet","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":[0.0009614056,0.001940903,0.001574734,0.004812988,0.00099692,0.002542048,0.002773562,0.002173873,0.1531293],"category_scores_gemma":[0.00597344,0.0008809705,0.001307473,0.008776441,0.0004482555,0.002290226,0.002545559,0.001993572,0.2117998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560776,"about_ca_system_score_gemma":0.002292101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261969,"about_ca_topic_score_gemma":0.03534279,"domain_scores_codex":[0.9990053,0.0001379519,0.0001248212,0.00034639,0.0002183391,0.000167307],"domain_scores_gemma":[0.9975182,0.0007503629,0.0002123736,0.0006329038,0.0006187776,0.000267315],"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":[0.00002954911,0.00001291851,0.0004350852,0.000588935,0.00001518857,0.00001697667,0.00002439221,0.0001342853,0.0001272394,0.000345371,0.9967777,0.001492405],"study_design_scores_gemma":[0.00007643211,0.00001010672,0.002133983,0.000224855,0.00001612343,0.00004111227,0.00008744802,0.0001914643,0.0002027359,0.0007703899,0.9962261,0.00001937149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004703809,0.00002982499,0.0000449298,0.00004173763,0.00001408041,0.000006181357,0.998804,0.0004112131,0.0006010093],"genre_scores_gemma":[0.0001824431,0.00003646687,0.0002115828,0.00005260261,0.000004021546,0.00004779111,0.9988509,0.0001460724,0.0004680827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468707,"threshold_uncertainty_score":0.5122685,"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."}}