{"id":"W6886924519","doi":"10.15468/dl.mesnhf","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":[0.001151335,0.002014308,0.00165751,0.00529534,0.001066042,0.002787999,0.0030007,0.002166453,0.1690632],"category_scores_gemma":[0.006698566,0.001018236,0.001177668,0.01037779,0.0004803567,0.002416637,0.002663893,0.002104821,0.2312275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775082,"about_ca_system_score_gemma":0.002536279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02334778,"about_ca_topic_score_gemma":0.03780651,"domain_scores_codex":[0.9988226,0.0001553772,0.0001578807,0.0004069465,0.0002635641,0.0001935548],"domain_scores_gemma":[0.9972103,0.0008172963,0.0002671555,0.0007120968,0.0006796512,0.000313538],"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":[0.00002821358,0.00001054381,0.0003480861,0.000527416,0.00001425029,0.00001459611,0.00002411307,0.0001177611,0.0001140166,0.0004092903,0.9971362,0.001255566],"study_design_scores_gemma":[0.0000695048,0.000007134641,0.001670756,0.0001901766,0.00001368607,0.00003562004,0.00007135127,0.0001349181,0.0001770192,0.0007307025,0.9968817,0.00001742078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003197552,0.0000218585,0.00003979019,0.00003196442,0.00001039667,0.000004433491,0.9989747,0.000314152,0.000570776],"genre_scores_gemma":[0.0001400941,0.00002957137,0.0001767589,0.00004069345,0.000003063288,0.00003708971,0.999009,0.0001422464,0.0004214681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309368,"threshold_uncertainty_score":0.5655729,"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."}}