{"id":"W6962129695","doi":"10.15468/dl.bjyu6e","title":"Occurrence Download","year":2021,"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; 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":[0.001133252,0.001945386,0.001831813,0.005339083,0.0009912074,0.002787177,0.003008845,0.002108125,0.1943109],"category_scores_gemma":[0.006811082,0.001014863,0.001115186,0.01089294,0.0004651275,0.002475702,0.002637436,0.002189159,0.2509714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696575,"about_ca_system_score_gemma":0.002504427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107629,"about_ca_topic_score_gemma":0.03386595,"domain_scores_codex":[0.9988847,0.0001499904,0.0001452958,0.0003815017,0.000259915,0.0001785578],"domain_scores_gemma":[0.9971212,0.0008366729,0.0002788788,0.0007182688,0.00071908,0.0003259695],"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":[0.00002626807,0.00001010017,0.0002984631,0.0005062715,0.00001327639,0.00001200329,0.00002192639,0.0001075436,0.00009130685,0.0003609849,0.9972554,0.001296439],"study_design_scores_gemma":[0.00007125155,0.000006544902,0.001606572,0.0001869118,0.00001364543,0.0000280501,0.00006462143,0.0001223814,0.0001791394,0.0007787128,0.9969251,0.00001705635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000268327,0.00001872772,0.00003572601,0.0000281351,0.000008046249,0.000004380238,0.9990451,0.0002793116,0.0005537317],"genre_scores_gemma":[0.0001394062,0.00002891536,0.0001806815,0.00003886196,0.000002935594,0.00004441164,0.9988858,0.0001510967,0.0005279485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8056891,"threshold_uncertainty_score":0.6500348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}