{"id":"W6887168378","doi":"10.15468/dl.t7gkju","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","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":[0.001179737,0.001895359,0.001602817,0.005206164,0.001001576,0.002736141,0.00280944,0.002014999,0.1755146],"category_scores_gemma":[0.006738438,0.0009722391,0.001111186,0.01037901,0.0004701938,0.002236808,0.002595837,0.002021825,0.2246554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698629,"about_ca_system_score_gemma":0.002502289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203209,"about_ca_topic_score_gemma":0.03489263,"domain_scores_codex":[0.9988741,0.0001537693,0.0001524141,0.0003899595,0.0002512266,0.0001785171],"domain_scores_gemma":[0.9971703,0.0008515979,0.0002723981,0.0007091152,0.0006930299,0.0003035727],"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":[0.00002684579,0.00001029186,0.0003636826,0.0005679272,0.00001548055,0.00001520543,0.00002539111,0.0001228184,0.0001182152,0.0004246637,0.9970505,0.001258814],"study_design_scores_gemma":[0.00007172995,0.000006878707,0.001696068,0.0001925223,0.00001465494,0.0000350445,0.00007143123,0.0001271305,0.0001753197,0.0007392794,0.9968526,0.00001740579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003176475,0.00002198694,0.0000414422,0.00003160029,0.00001009645,0.000004681303,0.9989787,0.0002903632,0.0005893575],"genre_scores_gemma":[0.0001533034,0.0000324793,0.0001967652,0.00004355946,0.000003272554,0.00004453023,0.9989222,0.0001540798,0.0004498805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8244854,"threshold_uncertainty_score":0.5871548,"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."}}