{"id":"W6961940954","doi":"10.15468/dl.ndbuut","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); Species name","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":[0.0009864621,0.00197574,0.001472755,0.004872901,0.001017873,0.002412399,0.002843579,0.002108323,0.1411372],"category_scores_gemma":[0.005585914,0.0008576579,0.001141987,0.00923755,0.0004666154,0.002300952,0.002491053,0.002065971,0.2008813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566631,"about_ca_system_score_gemma":0.002249458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171164,"about_ca_topic_score_gemma":0.03915234,"domain_scores_codex":[0.9989871,0.0001472388,0.0001236157,0.000355229,0.0002220225,0.0001647695],"domain_scores_gemma":[0.9975718,0.000684886,0.0002237857,0.0006614458,0.0005732952,0.0002847856],"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":[0.00002706806,0.0000125279,0.0003773943,0.0004580875,0.00001324265,0.00001457879,0.00002347082,0.0001305681,0.0001101383,0.0003685764,0.9970988,0.001365607],"study_design_scores_gemma":[0.00006981922,0.000008574633,0.001887172,0.0001756685,0.00001296926,0.00003946107,0.00008057424,0.0001700213,0.0001875057,0.0007723963,0.9965784,0.00001754846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005280773,0.00002865419,0.00005014223,0.00004034108,0.00001396844,0.000005816175,0.9987478,0.0003808305,0.0006796104],"genre_scores_gemma":[0.000167531,0.00003016101,0.0002040608,0.00004332879,0.000003511439,0.00004098565,0.9989198,0.0001274094,0.0004632169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588628,"threshold_uncertainty_score":0.472151,"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."}}