{"id":"W6905820115","doi":"10.15468/dl.m28u3f","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); Range (aeronautics); Alien; 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":[0.0009733351,0.00191282,0.001489623,0.004710965,0.001059051,0.002674655,0.00284737,0.00208168,0.164351],"category_scores_gemma":[0.006091156,0.0008927385,0.001229112,0.009079252,0.0004322393,0.002595168,0.002584116,0.002096931,0.2409746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576217,"about_ca_system_score_gemma":0.002269891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919614,"about_ca_topic_score_gemma":0.0352793,"domain_scores_codex":[0.9989159,0.0001634095,0.0001314486,0.0003934909,0.0002304118,0.0001653067],"domain_scores_gemma":[0.9975001,0.0007169832,0.0002089489,0.0006760948,0.0006350223,0.0002629158],"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":[0.0000239192,0.00001110214,0.0003361962,0.00044498,0.00001188072,0.00001331303,0.00001937672,0.0001003875,0.00008857995,0.0003297739,0.9972402,0.001380335],"study_design_scores_gemma":[0.00006010711,0.000007812603,0.001599148,0.0001806941,0.00001231953,0.00003483324,0.00007127108,0.0001504447,0.0001621138,0.0008225362,0.9968816,0.00001700548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004353325,0.00003002996,0.00005395032,0.00004545594,0.00001456605,0.000006614453,0.998621,0.0004231079,0.0007617514],"genre_scores_gemma":[0.0001558763,0.00003455092,0.0002235048,0.00005339952,0.000004167367,0.00005160198,0.9987645,0.0001544866,0.0005579513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835649,"threshold_uncertainty_score":0.5498087,"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."}}