{"id":"W6886942980","doi":"10.15468/dl.9s69kd","title":"Occurrence Download","year":2024,"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); Real world data; 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":[0.0009956838,0.001940929,0.001706512,0.00562049,0.001054959,0.00269026,0.002889628,0.002027679,0.1640689],"category_scores_gemma":[0.005942362,0.0009791068,0.001164707,0.01119721,0.0004790225,0.002402198,0.002680926,0.002081698,0.2292755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628911,"about_ca_system_score_gemma":0.002500044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02286327,"about_ca_topic_score_gemma":0.03930121,"domain_scores_codex":[0.9989302,0.0001448957,0.0001360862,0.0003700868,0.0002410425,0.0001777656],"domain_scores_gemma":[0.9974145,0.0007154784,0.0002484813,0.0006837301,0.0006394146,0.0002983596],"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":[0.00002763361,0.00001110152,0.0003638002,0.0005599938,0.00001495309,0.00001488744,0.00002710678,0.0001182421,0.0001212729,0.0004282098,0.9969105,0.00140228],"study_design_scores_gemma":[0.00006114618,0.000006561113,0.001616408,0.0001706814,0.00001301793,0.0000326024,0.0000712015,0.0001105052,0.0001705169,0.0007712041,0.9969593,0.00001677364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003909507,0.00002533735,0.00004403364,0.00003291363,0.00001076274,0.000004691442,0.9988411,0.0003481511,0.0006538079],"genre_scores_gemma":[0.0001545999,0.00003473954,0.0002105158,0.00004277496,0.000003348264,0.00004050714,0.9988291,0.0001613427,0.0005231358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359311,"threshold_uncertainty_score":0.5488651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}