{"id":"W6906198073","doi":"10.15468/dl.zh5h6d","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","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":[0.001004184,0.002011623,0.001579164,0.005193501,0.001006143,0.002458736,0.002889819,0.001945749,0.1517716],"category_scores_gemma":[0.006121426,0.0009390072,0.001203601,0.01063928,0.000437725,0.002111192,0.002483452,0.002003595,0.2026567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002086797,"about_ca_system_score_gemma":0.00311583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04289278,"about_ca_topic_score_gemma":0.07226178,"domain_scores_codex":[0.9989122,0.000135823,0.0001345043,0.0003638757,0.0002586055,0.0001948464],"domain_scores_gemma":[0.996955,0.00073712,0.0002579409,0.0008253498,0.0008482201,0.0003763349],"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":[0.00002933919,0.00001016392,0.0003638188,0.000479558,0.00001513068,0.00001344169,0.00002068519,0.0001231576,0.0001276407,0.0003406161,0.997128,0.001348507],"study_design_scores_gemma":[0.00006837317,0.000006960262,0.001991573,0.0001686716,0.00001382894,0.0000291453,0.00006142037,0.000147269,0.0002042128,0.0006372037,0.9966538,0.00001745105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003328531,0.00001928799,0.00003234922,0.00002595768,0.000008307071,0.000004757923,0.9990639,0.0003097667,0.0005023833],"genre_scores_gemma":[0.0001329284,0.00002594442,0.0001630248,0.00003282238,0.000002512717,0.00003429079,0.9990965,0.0001192605,0.0003926973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8482284,"threshold_uncertainty_score":0.5077266,"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."}}