{"id":"W6906104083","doi":"10.15468/dl.x8k7et","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":[0.0009958867,0.001938937,0.001542905,0.005056183,0.001051191,0.002689247,0.002839337,0.002127646,0.1638712],"category_scores_gemma":[0.006421354,0.0008953447,0.001261228,0.009528555,0.0004506306,0.002461779,0.002557549,0.002025346,0.2320477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579966,"about_ca_system_score_gemma":0.002322739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201958,"about_ca_topic_score_gemma":0.03558515,"domain_scores_codex":[0.9989443,0.0001503459,0.0001298995,0.0003768822,0.0002301318,0.0001683764],"domain_scores_gemma":[0.9974787,0.0007492877,0.0002110931,0.0006639258,0.0006275355,0.0002695718],"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":[0.00002584285,0.00001130053,0.0003641789,0.0005063796,0.00001330768,0.00001538382,0.0000236178,0.0001169296,0.0001018819,0.0003599313,0.9970443,0.001416928],"study_design_scores_gemma":[0.00006265011,0.000008154738,0.001739295,0.000200083,0.0000134293,0.00003731239,0.00008126655,0.0001549397,0.0001725294,0.0007763406,0.9967362,0.00001777002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004369543,0.00002969614,0.00004870828,0.00004268682,0.00001387335,0.00000614593,0.9986936,0.000414533,0.0007070224],"genre_scores_gemma":[0.0001638122,0.00003633735,0.0002121275,0.00004905741,0.000003961121,0.00004776063,0.998811,0.0001579689,0.0005179492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361288,"threshold_uncertainty_score":0.5482037,"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."}}