{"id":"W6886980582","doi":"10.15468/dl.k7pdqb","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0008952628,0.002052826,0.001471106,0.004846621,0.0009450219,0.002409354,0.00254705,0.001924661,0.1613499],"category_scores_gemma":[0.005698754,0.0008769914,0.001178263,0.009649862,0.0004350048,0.002089385,0.002472921,0.001736579,0.2223573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431975,"about_ca_system_score_gemma":0.002236859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076759,"about_ca_topic_score_gemma":0.03338741,"domain_scores_codex":[0.999012,0.0001327825,0.0001247335,0.0003523264,0.0002069031,0.0001713451],"domain_scores_gemma":[0.9976971,0.0006490144,0.000220782,0.0005822399,0.0005872203,0.0002638124],"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":[0.00003266908,0.0000121745,0.0004162764,0.0005273856,0.00001382405,0.00001474147,0.00002130406,0.0001296168,0.0001263199,0.0003470954,0.996874,0.001484681],"study_design_scores_gemma":[0.00008009771,0.00001124813,0.002004783,0.000187127,0.00001522781,0.00003718622,0.00007015329,0.0001639699,0.0002079817,0.0007870873,0.9964161,0.0000190194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004799698,0.00002656663,0.0000388145,0.00003322809,0.00001216788,0.000005279801,0.9988264,0.0003724068,0.0006371356],"genre_scores_gemma":[0.0001666256,0.00003293638,0.0001864375,0.00004585641,0.00000368315,0.00004198476,0.9989072,0.00014196,0.0004732642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8386501,"threshold_uncertainty_score":0.5397693,"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."}}