{"id":"W6887380435","doi":"10.15468/dl.z3su5z","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); Set (abstract data type); 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":[0.001025064,0.001877274,0.00162305,0.005209197,0.0009259277,0.002452785,0.00269379,0.002015886,0.1558072],"category_scores_gemma":[0.00625023,0.0008955879,0.001155606,0.01056068,0.0004288181,0.002176662,0.002398148,0.001871575,0.2039624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524871,"about_ca_system_score_gemma":0.002248655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077949,"about_ca_topic_score_gemma":0.03354379,"domain_scores_codex":[0.9989202,0.0001503159,0.0001489716,0.000368986,0.0002361078,0.0001753731],"domain_scores_gemma":[0.9973655,0.0007767719,0.0002538755,0.0006557023,0.0006565483,0.0002915862],"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":[0.00003212924,0.00001184433,0.0004198503,0.0006369694,0.00001711248,0.00001583881,0.00002387824,0.0001426506,0.0001243744,0.0003819925,0.9966935,0.00149982],"study_design_scores_gemma":[0.00008202335,0.000009183687,0.002147233,0.0002183209,0.00001634302,0.00003686931,0.00007191211,0.0001502137,0.0001857431,0.0007400151,0.9963236,0.00001863074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003918328,0.00002613439,0.00003715077,0.0000303602,0.000009790113,0.000004959869,0.9990565,0.0002829427,0.0005129701],"genre_scores_gemma":[0.0001569696,0.00003281772,0.0001695373,0.00004057049,0.000003288958,0.0000415595,0.999047,0.0001157082,0.0003924625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441928,"threshold_uncertainty_score":0.5212269,"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."}}