{"id":"W6924525381","doi":"10.15468/dl.r66nxw","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); Software; The Internet","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":[0.001033481,0.002047977,0.001666754,0.005304576,0.0009968014,0.00267716,0.00285495,0.002073659,0.1590437],"category_scores_gemma":[0.006377739,0.0009133458,0.001217883,0.01014913,0.0004515036,0.002325753,0.002543238,0.002001573,0.2181844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528622,"about_ca_system_score_gemma":0.002340984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147048,"about_ca_topic_score_gemma":0.03586782,"domain_scores_codex":[0.9989086,0.000155017,0.0001415787,0.0003849859,0.0002301987,0.0001795672],"domain_scores_gemma":[0.9973655,0.0007785775,0.0002450288,0.0006698648,0.0006391407,0.0003017826],"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":[0.00003127324,0.00001149157,0.0003999756,0.000571258,0.0000160954,0.00001578394,0.00002271247,0.0001275552,0.0001094001,0.00034989,0.9969804,0.001364232],"study_design_scores_gemma":[0.00007949068,0.000008945012,0.001996512,0.0002117711,0.00001631879,0.00003849824,0.00007646826,0.0001553203,0.0001863966,0.0007958215,0.996415,0.00001937317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003966571,0.00002716126,0.00004052538,0.00003227781,0.00001105842,0.000005012362,0.9989502,0.0003359699,0.0005581252],"genre_scores_gemma":[0.0001607453,0.00003273203,0.0001761086,0.00004333916,0.000003519101,0.00004124455,0.9989749,0.0001346056,0.0004328866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409563,"threshold_uncertainty_score":0.5320541,"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."}}