{"id":"W6887349585","doi":"10.15468/dl.zszqde","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; 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":[0.001159863,0.002043121,0.001640277,0.005258473,0.001096728,0.002796184,0.003053931,0.002171225,0.1650288],"category_scores_gemma":[0.006655536,0.001000898,0.001206024,0.01027108,0.0004947424,0.002488017,0.002724283,0.002145382,0.2274041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733271,"about_ca_system_score_gemma":0.002568999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02349708,"about_ca_topic_score_gemma":0.03850507,"domain_scores_codex":[0.9987998,0.0001697817,0.0001582097,0.0004189087,0.0002636719,0.0001896421],"domain_scores_gemma":[0.9971046,0.0008355438,0.0002670283,0.000772842,0.0007091886,0.000310823],"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":[0.00002707915,0.00001093161,0.000358213,0.0005176431,0.00001479387,0.00001491856,0.00002540401,0.0001145029,0.0001058321,0.0004081457,0.9971699,0.001232553],"study_design_scores_gemma":[0.00006761059,0.000006966441,0.001652144,0.0001838192,0.00001393598,0.00003601176,0.00007467306,0.0001320724,0.0001708102,0.0007806469,0.9968634,0.00001788619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003447978,0.00002318232,0.0000456182,0.00003412517,0.00001119377,0.000004962879,0.9988938,0.0003477005,0.0006049987],"genre_scores_gemma":[0.0001448725,0.00003088469,0.0001967151,0.00004322328,0.000003211789,0.00004123698,0.9989451,0.0001519106,0.0004429818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349712,"threshold_uncertainty_score":0.5520763,"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."}}