{"id":"W6961804723","doi":"10.15468/dl.nswfmz","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); Alien; Range (aeronautics)","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":[0.001005094,0.001989328,0.001593305,0.00480918,0.0009919499,0.002557437,0.002801662,0.002113836,0.148455],"category_scores_gemma":[0.005827646,0.0009008174,0.001305852,0.009274473,0.0004575008,0.002221993,0.002516788,0.002053996,0.2175194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567848,"about_ca_system_score_gemma":0.002340865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228491,"about_ca_topic_score_gemma":0.03612349,"domain_scores_codex":[0.9989624,0.000146793,0.0001250654,0.0003609078,0.0002301472,0.0001747089],"domain_scores_gemma":[0.9975178,0.00072358,0.0002216203,0.0006751715,0.0005852145,0.0002765895],"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":[0.00003035079,0.00001279181,0.0004125767,0.000532283,0.00001537486,0.00001555422,0.00002461842,0.0001335199,0.0001191653,0.000369243,0.9968912,0.00144333],"study_design_scores_gemma":[0.00007743679,0.000009907212,0.002150794,0.0002130642,0.00001587176,0.00004113715,0.00008158311,0.0001676603,0.0002061231,0.0008224858,0.9961952,0.00001877104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004850794,0.00002898824,0.00004443471,0.00003799311,0.00001259542,0.000005505681,0.998814,0.0003924723,0.0006155124],"genre_scores_gemma":[0.0001624063,0.00003239595,0.0001833945,0.00004389258,0.000003374351,0.00004144117,0.9989539,0.0001360506,0.0004431127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851545,"threshold_uncertainty_score":0.4966315,"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."}}