{"id":"W6905797663","doi":"10.15468/dl.r2bwap","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009444175,0.002051656,0.001550342,0.00527472,0.0009905145,0.002514729,0.002642094,0.001947652,0.1712481],"category_scores_gemma":[0.006149095,0.0009150137,0.0011838,0.01041919,0.0004611665,0.002097518,0.002520564,0.001785796,0.2275538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501055,"about_ca_system_score_gemma":0.002352006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147458,"about_ca_topic_score_gemma":0.03383297,"domain_scores_codex":[0.9989508,0.0001448792,0.0001336229,0.0003709445,0.000220318,0.0001794062],"domain_scores_gemma":[0.9974856,0.0007378267,0.000241986,0.0006241786,0.0006296567,0.0002807484],"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":[0.00003150328,0.00001138464,0.0003963042,0.0005444756,0.00001378873,0.00001436526,0.00002178268,0.0001237518,0.00011671,0.0003401942,0.9969621,0.001423569],"study_design_scores_gemma":[0.00007996341,0.0000105831,0.001902339,0.0001935365,0.00001510832,0.00003656358,0.00007054472,0.0001455164,0.0001910979,0.00074878,0.9965875,0.00001835932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004531639,0.00002698963,0.00003656195,0.00003242965,0.0000118148,0.000005056193,0.9988638,0.0003554226,0.0006227138],"genre_scores_gemma":[0.0001644652,0.00003430668,0.0001793242,0.00004458376,0.000003688692,0.00004294823,0.9989135,0.0001471577,0.0004700368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287519,"threshold_uncertainty_score":0.5728821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}