{"id":"W4395306698","doi":"10.15468/dl.7sbthz","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001080752,0.001877709,0.001571903,0.004539849,0.001016522,0.002684268,0.002897379,0.002091004,0.1702829],"category_scores_gemma":[0.006465296,0.0009657324,0.001114619,0.009517333,0.0004596947,0.002275402,0.002486726,0.002174401,0.2182239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703223,"about_ca_system_score_gemma":0.002385936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147327,"about_ca_topic_score_gemma":0.0364552,"domain_scores_codex":[0.9988978,0.0001510399,0.000143741,0.0003777703,0.000251993,0.0001776268],"domain_scores_gemma":[0.9974028,0.000772575,0.0002468798,0.0006368403,0.0006418257,0.0002990825],"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":[0.00002568839,0.00001038163,0.0003311524,0.0004492753,0.00001273842,0.00001344815,0.00002191837,0.0001145288,0.00009018081,0.0003846632,0.9974428,0.001103151],"study_design_scores_gemma":[0.00007876994,0.000006544737,0.001675531,0.0001745955,0.00001268801,0.00003267005,0.00006945102,0.0001597481,0.00016952,0.0008097654,0.9967945,0.00001623276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003430244,0.00001962675,0.00004147094,0.00003402942,0.000009876548,0.000004897847,0.9989157,0.0003205538,0.0006195407],"genre_scores_gemma":[0.0001607849,0.00002881337,0.0001884767,0.00004508599,0.000003342322,0.00004463166,0.9989153,0.0001585329,0.0004549617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.829717,"threshold_uncertainty_score":0.5696532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}