{"id":"W6887343964","doi":"10.15468/dl.yxd7rn","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":[0.001017522,0.001984573,0.001640406,0.004936188,0.0009938513,0.002645506,0.002807884,0.002063158,0.172158],"category_scores_gemma":[0.006486831,0.0009259458,0.001183631,0.009770354,0.0004481197,0.00248829,0.002607245,0.00204274,0.2324336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522753,"about_ca_system_score_gemma":0.002353514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063713,"about_ca_topic_score_gemma":0.0362362,"domain_scores_codex":[0.9989101,0.000156572,0.0001378765,0.0003924219,0.0002305529,0.000172558],"domain_scores_gemma":[0.9972574,0.0008031376,0.0002481256,0.0007194561,0.000662345,0.0003096481],"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":[0.00002809137,0.00001074987,0.0003375338,0.0005203684,0.00001372606,0.00001368675,0.00002178489,0.0001128658,0.00009654757,0.0003540473,0.9972479,0.001242702],"study_design_scores_gemma":[0.00007330705,0.00000774139,0.001640316,0.0001889598,0.00001343993,0.00003256721,0.00006621143,0.000135202,0.0001635217,0.0008352637,0.9968258,0.00001765469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003593902,0.00002445454,0.00004120563,0.00003483362,0.00001080034,0.000005124351,0.9988644,0.0003582907,0.0006249296],"genre_scores_gemma":[0.0001596184,0.00003296554,0.0001963815,0.00004938258,0.000003649567,0.00004471413,0.9988427,0.0001674101,0.0005031839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827842,"threshold_uncertainty_score":0.575926,"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."}}