{"id":"W6943175270","doi":"10.15468/dl.y9fh8s","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); The Internet; 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":[0.001107314,0.001986392,0.001624433,0.005379756,0.001010921,0.002775531,0.002857129,0.001999077,0.1745582],"category_scores_gemma":[0.00642175,0.0009860919,0.001156033,0.01054201,0.000460648,0.002383813,0.002636794,0.002023701,0.2357242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614129,"about_ca_system_score_gemma":0.002409467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238841,"about_ca_topic_score_gemma":0.03569044,"domain_scores_codex":[0.9988739,0.0001491307,0.0001499356,0.000389994,0.0002543138,0.0001827126],"domain_scores_gemma":[0.9972935,0.0007798584,0.0002576936,0.0007106054,0.0006482092,0.0003101138],"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":[0.0000270805,0.000009958446,0.0003478873,0.0005105258,0.00001438583,0.00001461759,0.00002426622,0.0001168511,0.0001072028,0.0003936796,0.9971282,0.001305268],"study_design_scores_gemma":[0.0000657024,0.00000681602,0.001679728,0.0001840741,0.00001385804,0.00003544747,0.0000714889,0.0001284673,0.0001700779,0.0007619598,0.9968652,0.00001706367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000336679,0.00002219713,0.00004320687,0.00003121479,0.00001075746,0.000004416062,0.9989144,0.0003329949,0.0006071721],"genre_scores_gemma":[0.0001430395,0.00003125059,0.0001882536,0.00004052999,0.000003248709,0.00003757323,0.9989324,0.0001626805,0.0004610289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8254418,"threshold_uncertainty_score":0.5839554,"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."}}