{"id":"W6906109061","doi":"10.15468/dl.tgmuba","title":"Occurrence Download","year":2023,"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); 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":[0.0009301401,0.001941147,0.001560532,0.00456862,0.000950966,0.00228678,0.002796195,0.001991796,0.1403508],"category_scores_gemma":[0.005072591,0.0009067601,0.001181596,0.009012138,0.0004495378,0.002104868,0.002486507,0.001994363,0.2016551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531276,"about_ca_system_score_gemma":0.00219193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170336,"about_ca_topic_score_gemma":0.03572241,"domain_scores_codex":[0.9990963,0.0001173148,0.0001133911,0.0003124372,0.00020269,0.0001579331],"domain_scores_gemma":[0.9979817,0.0005339337,0.0001978385,0.0005528721,0.0004919536,0.0002417603],"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":[0.00002981811,0.00001237714,0.0004204541,0.0005347391,0.00001588138,0.00001535123,0.00002709084,0.0001453573,0.0001420374,0.0003796603,0.9966967,0.001580461],"study_design_scores_gemma":[0.00007715385,0.000008425774,0.002091285,0.0001945073,0.00001490976,0.00003915359,0.00007965576,0.0001712827,0.0002099375,0.0007106662,0.996385,0.00001787578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004989091,0.00002719497,0.0000473282,0.00003313908,0.00001209796,0.000005423812,0.9988232,0.0004066757,0.0005950456],"genre_scores_gemma":[0.000162472,0.00003005619,0.0002064732,0.00003815187,0.000003006242,0.00004034855,0.9989889,0.0001448226,0.0003857057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8596492,"threshold_uncertainty_score":0.4695201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}