{"id":"W6887231071","doi":"10.15468/dl.ujsk72","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":"Download; Matching (statistics); Alien; Range (aeronautics); The Internet","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":[0.0009442295,0.001876218,0.001490306,0.00455628,0.0009870647,0.00253255,0.002602933,0.002012083,0.1650503],"category_scores_gemma":[0.006214495,0.0008503518,0.001238994,0.008858615,0.0004435006,0.002495631,0.002589679,0.001970793,0.2348046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480201,"about_ca_system_score_gemma":0.002221844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026114,"about_ca_topic_score_gemma":0.03285822,"domain_scores_codex":[0.9989856,0.0001476717,0.0001233756,0.0003642844,0.0002139481,0.0001650807],"domain_scores_gemma":[0.9973909,0.0007501745,0.0002200423,0.000703957,0.0006508616,0.0002840408],"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":[0.00002744526,0.00001156567,0.0003720497,0.0004759498,0.00001231263,0.00001361269,0.00002181732,0.000119829,0.00009560006,0.0003353862,0.9971001,0.001414231],"study_design_scores_gemma":[0.00006783724,0.000009068344,0.001786992,0.0001988883,0.00001258513,0.00003311459,0.00007938498,0.0001668456,0.0001702998,0.000814305,0.9966439,0.00001685804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000464958,0.0000280326,0.00004623046,0.00004531117,0.00001509683,0.000006221045,0.9986525,0.0004507189,0.0007095249],"genre_scores_gemma":[0.0001739503,0.00003522908,0.0002151994,0.00005276617,0.000004455635,0.00004493607,0.9987853,0.0001681918,0.000520058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349497,"threshold_uncertainty_score":0.5521483,"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."}}