{"id":"W6943816708","doi":"10.15468/dl.u9dypn","title":"Occurrence Download","year":2021,"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); Order (exchange); 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":[0.0007142713,0.002639077,0.002051167,0.005573302,0.001422937,0.004046215,0.003011871,0.002676989,0.2879178],"category_scores_gemma":[0.00649143,0.0009914156,0.001909468,0.01002378,0.0004034931,0.004451009,0.003530496,0.002312414,0.4485127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655118,"about_ca_system_score_gemma":0.002210957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001565,"about_ca_topic_score_gemma":0.03985694,"domain_scores_codex":[0.9987674,0.0001397371,0.0001557386,0.0004599302,0.0002746278,0.0002025243],"domain_scores_gemma":[0.9975072,0.000585512,0.0001643504,0.0006267612,0.0008131742,0.0003031325],"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":[0.00003395418,0.00001005565,0.0003027475,0.000475399,0.00001177207,0.00002060415,0.00002043866,0.00009277198,0.00008296635,0.0003478943,0.9958053,0.002796214],"study_design_scores_gemma":[0.00004440497,0.00000969623,0.001017697,0.0001513492,0.0000121412,0.0000495938,0.00007955212,0.0002444795,0.0001381064,0.001120434,0.9971149,0.00001759515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008162286,0.0001104151,0.0001698596,0.00009926348,0.00004526433,0.00001212636,0.9940665,0.00234739,0.003067512],"genre_scores_gemma":[0.0003248412,0.0000930036,0.000544218,0.000119164,0.00001328044,0.00004334575,0.9966743,0.0005807733,0.001607026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7120821,"threshold_uncertainty_score":0.9631811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}