{"id":"W6906268695","doi":"10.15468/dl.ysqh58","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); 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":[0.001014648,0.001937538,0.001601236,0.005113254,0.001059685,0.002684935,0.002784169,0.002182069,0.1672871],"category_scores_gemma":[0.006307959,0.0008835146,0.001248886,0.009725141,0.000454466,0.002378859,0.002603902,0.002016753,0.241493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584868,"about_ca_system_score_gemma":0.002369394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106617,"about_ca_topic_score_gemma":0.0340815,"domain_scores_codex":[0.9989434,0.0001486821,0.0001315409,0.0003711597,0.0002298668,0.0001754008],"domain_scores_gemma":[0.9973374,0.0007860031,0.000232882,0.0006870984,0.0006634002,0.0002931521],"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":[0.00002669961,0.00001136506,0.0003758894,0.0005313061,0.0000132093,0.00001469616,0.00002186647,0.0001163803,0.0001065857,0.0003288906,0.9970285,0.001424445],"study_design_scores_gemma":[0.00007035368,0.000009365268,0.001879231,0.0002152357,0.00001440069,0.00003655656,0.00007927348,0.0001570892,0.0001808103,0.0007301247,0.9966099,0.00001768115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004437394,0.0000303307,0.00004221245,0.00004100062,0.00001370124,0.000005953713,0.9988092,0.0003707401,0.0006424043],"genre_scores_gemma":[0.0001627804,0.00003729743,0.0001924197,0.00005059396,0.000004068102,0.00004811654,0.9988606,0.0001400421,0.0005041792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327129,"threshold_uncertainty_score":0.5596312,"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."}}