{"id":"W6906106255","doi":"10.15468/dl.ufx5sh","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); Data set; Set (abstract data type)","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":[0.0009408968,0.001853379,0.0015204,0.005233375,0.0009595705,0.002622909,0.002794297,0.001959805,0.1590062],"category_scores_gemma":[0.005873613,0.000883867,0.001117796,0.01073956,0.0004311734,0.002344776,0.00249243,0.00184973,0.2184058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601294,"about_ca_system_score_gemma":0.002549526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665383,"about_ca_topic_score_gemma":0.04122016,"domain_scores_codex":[0.9989147,0.0001402247,0.0001400747,0.000370713,0.0002503576,0.0001840038],"domain_scores_gemma":[0.9976135,0.0006291223,0.0002310652,0.0006233369,0.0006282338,0.0002746493],"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":[0.00002694497,0.000009695425,0.0003807693,0.000459899,0.00001416173,0.0000138337,0.00002198115,0.0001272281,0.0001011412,0.0003765044,0.9970759,0.001391941],"study_design_scores_gemma":[0.00006228749,0.000007035593,0.001883692,0.0001737202,0.00001347452,0.00003497045,0.00007580311,0.0001452752,0.0001770231,0.000703909,0.9967059,0.00001682526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003909259,0.00002521419,0.00004094298,0.00003375531,0.00001097053,0.000004352693,0.9989043,0.0003273882,0.0006139432],"genre_scores_gemma":[0.0001633796,0.00003269814,0.0001671562,0.00003886015,0.000003365281,0.00003313826,0.9989404,0.0001287509,0.000492267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409938,"threshold_uncertainty_score":0.5319289,"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."}}