{"id":"W6905956991","doi":"10.15468/dl.uhr8pn","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); State (computer science); Confidentiality","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":[0.0009676997,0.002066729,0.00152463,0.004706771,0.001021226,0.002446495,0.002967478,0.002205926,0.1579986],"category_scores_gemma":[0.005384871,0.0009189765,0.001172932,0.008938149,0.0004894737,0.002450821,0.002590879,0.002126934,0.2173352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557235,"about_ca_system_score_gemma":0.002183594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200812,"about_ca_topic_score_gemma":0.03590483,"domain_scores_codex":[0.9990262,0.000141935,0.0001170958,0.0003489936,0.0002070917,0.0001587812],"domain_scores_gemma":[0.9976594,0.0006588314,0.000208553,0.0006566109,0.0005479394,0.0002686071],"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":[0.00002715163,0.00001267192,0.0003390552,0.0004746622,0.00001319296,0.00001535201,0.00002415058,0.0001322821,0.0001124754,0.0003771858,0.9971439,0.001327853],"study_design_scores_gemma":[0.00007371454,0.000007996362,0.001644681,0.000161694,0.00001238135,0.00003876682,0.00007691358,0.0001634931,0.0001804487,0.0008306628,0.9967912,0.00001810882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004958902,0.00002755001,0.00005408184,0.00003952417,0.00001404231,0.000006061146,0.9986622,0.000421862,0.0007251162],"genre_scores_gemma":[0.0001766665,0.00003092522,0.0002289505,0.00004661332,0.000003693688,0.00004561689,0.9988288,0.0001577008,0.0004809847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8420014,"threshold_uncertainty_score":0.5285579,"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."}}