{"id":"W6943110461","doi":"10.15468/dl.mc95r3","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); Confidentiality; 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":[0.0009111766,0.001856579,0.001502971,0.005072331,0.00102826,0.002771025,0.002689636,0.001887866,0.172992],"category_scores_gemma":[0.00623835,0.0009150717,0.001177723,0.01011256,0.0004266812,0.002560467,0.002651729,0.002114352,0.2426097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620484,"about_ca_system_score_gemma":0.002392283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219374,"about_ca_topic_score_gemma":0.03721882,"domain_scores_codex":[0.9989662,0.0001366055,0.0001302911,0.0003641949,0.0002344712,0.0001682278],"domain_scores_gemma":[0.9975033,0.0007096302,0.0002219644,0.0006634821,0.0006187619,0.0002827759],"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":[0.00002262454,0.000009132183,0.0003264504,0.0004431646,0.00001134419,0.00001248125,0.00002119699,0.00009695777,0.00008360195,0.0003474276,0.9971856,0.001440057],"study_design_scores_gemma":[0.00005237841,0.000006330898,0.001537632,0.0001776697,0.00001147473,0.00003379322,0.00007171074,0.0001335528,0.000157178,0.0007155195,0.9970875,0.00001530746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004018088,0.00002873875,0.00004811031,0.00004283899,0.00001426872,0.000005409912,0.9985893,0.0004434535,0.0007875878],"genre_scores_gemma":[0.0001567635,0.00003871231,0.0002129687,0.00004841586,0.000003936184,0.00004228589,0.9986985,0.0001786255,0.0006197668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827008,"threshold_uncertainty_score":0.5787159,"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."}}