{"id":"W6943476348","doi":"10.15468/dl.un5pbb","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); Complement (music); Key (lock)","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":[0.0009357932,0.001976587,0.001583643,0.004627886,0.001003289,0.002350686,0.002855913,0.002097431,0.1405517],"category_scores_gemma":[0.005388982,0.000886929,0.001222276,0.009136237,0.0004544502,0.002159412,0.002532147,0.001992268,0.2085398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616641,"about_ca_system_score_gemma":0.002316291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409602,"about_ca_topic_score_gemma":0.04096649,"domain_scores_codex":[0.9990432,0.0001224333,0.000123275,0.0003281239,0.0002179028,0.0001651004],"domain_scores_gemma":[0.9978492,0.0005563027,0.0002042355,0.0005900727,0.0005478825,0.0002522939],"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":[0.00003070973,0.00001216684,0.0004397586,0.0005423959,0.00001567158,0.00001658177,0.00002814034,0.000145714,0.0001476902,0.0003986355,0.9966613,0.001561297],"study_design_scores_gemma":[0.00006943978,0.000007902184,0.001922868,0.0001781919,0.00001408687,0.00003747496,0.00007961575,0.0001639711,0.0002029507,0.000690937,0.9966152,0.00001735021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004607482,0.00002483858,0.00004801539,0.00003212644,0.00001217515,0.000005324004,0.9988058,0.0004054026,0.000620315],"genre_scores_gemma":[0.0001546647,0.00002715125,0.0002016364,0.00003762951,0.000002851787,0.00003744568,0.9989975,0.0001366562,0.0004044639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8594483,"threshold_uncertainty_score":0.4701923,"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."}}