{"id":"W6887411914","doi":"10.15468/dl.zndek8","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); Alien; 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":[0.0009827123,0.002004475,0.001539604,0.004935329,0.001057606,0.002568436,0.002745767,0.002150406,0.1664209],"category_scores_gemma":[0.006287995,0.0008809369,0.001267782,0.00907444,0.0004501368,0.002457914,0.002574538,0.001999957,0.2366053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526404,"about_ca_system_score_gemma":0.002298823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211416,"about_ca_topic_score_gemma":0.03345554,"domain_scores_codex":[0.9989402,0.0001507292,0.0001295845,0.0003755359,0.0002315753,0.0001723489],"domain_scores_gemma":[0.997291,0.0007977048,0.000224049,0.0007315528,0.0006669015,0.000288601],"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":[0.00002792091,0.00001159684,0.000363424,0.0004693267,0.00001247967,0.00001488048,0.00002176516,0.0001183483,0.0001031057,0.000326458,0.9971327,0.001398152],"study_design_scores_gemma":[0.00007240977,0.00000932885,0.001849169,0.0001924897,0.00001368669,0.00003770118,0.00008075236,0.0001758409,0.0001907842,0.0008087788,0.9965504,0.00001853648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004687355,0.00002760146,0.00004918696,0.00004446473,0.00001492781,0.000006403895,0.9986589,0.0004618678,0.0006897912],"genre_scores_gemma":[0.000169191,0.00003335679,0.0002126869,0.00005084062,0.000004215702,0.0000477124,0.9988079,0.0001621792,0.0005118884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335791,"threshold_uncertainty_score":0.5567335,"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."}}