{"id":"W6905663899","doi":"10.15468/dl.k2kceb","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); Set (abstract data type); 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":[0.001123533,0.00197154,0.001567069,0.004932208,0.001066758,0.002693485,0.002911533,0.001970678,0.1808557],"category_scores_gemma":[0.006439859,0.000988392,0.001150812,0.009718434,0.0004576683,0.002348485,0.002644399,0.002100122,0.2446988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648933,"about_ca_system_score_gemma":0.002443899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241861,"about_ca_topic_score_gemma":0.03717586,"domain_scores_codex":[0.9989147,0.0001413223,0.0001346352,0.000383854,0.000252306,0.0001731615],"domain_scores_gemma":[0.9973329,0.0007616447,0.0002379507,0.0007074789,0.0006632922,0.0002967909],"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":[0.00002479082,0.000009984578,0.0003254301,0.0004500544,0.00001292501,0.00001319552,0.00002292963,0.0001043342,0.0001145645,0.0003814265,0.9972633,0.001277103],"study_design_scores_gemma":[0.00005885167,0.000006549965,0.001640433,0.0001637516,0.00001284776,0.00003276004,0.00006632925,0.0001238465,0.0001920399,0.0007141231,0.9969716,0.00001685563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003622932,0.00002198854,0.0000515094,0.00003366565,0.00001145459,0.000005050558,0.998735,0.0004022706,0.0007026843],"genre_scores_gemma":[0.0001498428,0.00002904989,0.0002116429,0.00004177153,0.000003145658,0.00004268686,0.9988137,0.0001975479,0.0005107455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8191442,"threshold_uncertainty_score":0.6050227,"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."}}