{"id":"W6961934880","doi":"10.15468/dl.wtamne","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); Order (exchange)","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":[0.001057627,0.001886821,0.001572911,0.00590605,0.0009830067,0.002604697,0.002648211,0.001918544,0.191229],"category_scores_gemma":[0.006073785,0.0009480868,0.001150447,0.01074593,0.0004357666,0.002390971,0.002826783,0.001947127,0.2607809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509682,"about_ca_system_score_gemma":0.002463334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058021,"about_ca_topic_score_gemma":0.03735317,"domain_scores_codex":[0.9988297,0.0001532717,0.000149616,0.0004031645,0.0002693529,0.0001949515],"domain_scores_gemma":[0.9972121,0.0007282755,0.0002710791,0.0007181918,0.0007287397,0.0003416387],"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":[0.0000264679,0.000009028819,0.0003206294,0.0005043496,0.00001361947,0.00001240802,0.00002116251,0.00009286647,0.000114068,0.0003490398,0.9971399,0.001396539],"study_design_scores_gemma":[0.00005771473,0.00000721484,0.001746899,0.0001801579,0.0000132322,0.00003217625,0.00006298663,0.00009934594,0.0001732763,0.0006817078,0.9969285,0.00001676055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000323063,0.00002256437,0.00003917015,0.00002893566,0.00001028032,0.000004907823,0.9989172,0.0003124634,0.0006321718],"genre_scores_gemma":[0.0001378461,0.00003207936,0.0001923849,0.0000441986,0.000003584923,0.00004067787,0.9988781,0.0001553527,0.0005157609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.808771,"threshold_uncertainty_score":0.6397249,"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."}}