{"id":"W6962120030","doi":"10.15468/dl.tegb7b","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; Set (abstract data type)","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":[0.001011949,0.00180444,0.001476983,0.00540264,0.0008233179,0.002303794,0.0025116,0.001753547,0.1677333],"category_scores_gemma":[0.005423061,0.0008226928,0.001085251,0.01030536,0.000401787,0.002087573,0.002384786,0.001807646,0.2226699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537734,"about_ca_system_score_gemma":0.002248853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054618,"about_ca_topic_score_gemma":0.03447752,"domain_scores_codex":[0.9989291,0.0001460363,0.0001409422,0.0003454075,0.0002589372,0.0001795447],"domain_scores_gemma":[0.9974142,0.0006556277,0.0002588684,0.0007005698,0.0006648339,0.0003059749],"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":[0.00002650944,0.00001008423,0.0003377015,0.00043196,0.00001326192,0.0000122456,0.00001821654,0.00012568,0.0001114145,0.0003446858,0.9970812,0.001486996],"study_design_scores_gemma":[0.00006613811,0.000008227853,0.002048452,0.0001623701,0.000012641,0.00003281323,0.00006090813,0.0001446581,0.0002014531,0.0007168052,0.9965286,0.00001684385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003657158,0.00002026133,0.00003480601,0.00002982614,0.000009160122,0.000004895962,0.9989771,0.000291451,0.0005960006],"genre_scores_gemma":[0.0001486941,0.00002729729,0.0001635095,0.00003790168,0.00000323108,0.00003547681,0.9989842,0.0001137754,0.0004859363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322667,"threshold_uncertainty_score":0.5611237,"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."}}