{"id":"W6924785384","doi":"10.15468/dl.venhpm","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); Alien; Range (aeronautics); Column (typography)","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":[0.0009707517,0.001886774,0.001537643,0.004851465,0.001006128,0.002566051,0.002691909,0.002070489,0.1673742],"category_scores_gemma":[0.006080259,0.0008657409,0.001230395,0.008976194,0.000438362,0.002404386,0.002560957,0.001952577,0.2294247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496012,"about_ca_system_score_gemma":0.002242845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209716,"about_ca_topic_score_gemma":0.03365857,"domain_scores_codex":[0.9990045,0.0001397708,0.0001224653,0.0003548054,0.0002127051,0.0001657527],"domain_scores_gemma":[0.9973859,0.0007812099,0.0002248754,0.0006874159,0.000640706,0.0002799177],"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":[0.00002693507,0.00001158011,0.0004025741,0.0005146413,0.00001324904,0.00001481907,0.00002353213,0.0001209902,0.0001064147,0.0003423376,0.9969481,0.001474904],"study_design_scores_gemma":[0.00006754829,0.000008980021,0.001932612,0.0002053536,0.00001387155,0.00003678085,0.00008249799,0.0001690671,0.0001799758,0.0007660918,0.9965196,0.00001770209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000460383,0.00002764242,0.00004725086,0.00004094962,0.00001404503,0.000005957569,0.998753,0.0004207219,0.0006444132],"genre_scores_gemma":[0.000175929,0.0000352924,0.0002174539,0.00005193166,0.000004264547,0.00004763977,0.9987873,0.0001631226,0.0005170198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326259,"threshold_uncertainty_score":0.5599223,"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."}}