{"id":"W6905944328","doi":"10.15468/dl.yqwxes","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); Alien; 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":[0.0009786674,0.001876603,0.001514212,0.005020004,0.001066024,0.002519639,0.002711355,0.002160922,0.1482439],"category_scores_gemma":[0.005790974,0.0008591204,0.001230893,0.009885519,0.0004493345,0.002287038,0.002505945,0.002027462,0.2171029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603683,"about_ca_system_score_gemma":0.002431393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398738,"about_ca_topic_score_gemma":0.03860975,"domain_scores_codex":[0.9989127,0.0001493701,0.0001372625,0.0003730514,0.0002450006,0.0001827058],"domain_scores_gemma":[0.9973708,0.0007415827,0.0002353525,0.0006954341,0.0006598281,0.0002969129],"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":[0.00002846227,0.00001291223,0.0004106561,0.0004763358,0.00001308067,0.00001570022,0.00002464445,0.0001174112,0.0001216379,0.0003666982,0.9969894,0.001423185],"study_design_scores_gemma":[0.00006459194,0.000008707621,0.002033728,0.0001882306,0.00001314918,0.00003762724,0.00008461996,0.0001501756,0.0001922324,0.0007237694,0.9964852,0.00001800553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000466192,0.00002464943,0.00004134792,0.00003778197,0.00001233136,0.000005455269,0.9988518,0.0003387192,0.0006412931],"genre_scores_gemma":[0.0001582795,0.0000302131,0.0001881055,0.00004277136,0.000003350297,0.0000398876,0.9989449,0.0001220562,0.0004703769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517562,"threshold_uncertainty_score":0.4959251,"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."}}