{"id":"W6906018270","doi":"10.15468/dl.myhm2z","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); Data set","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":[0.001120599,0.001942932,0.001691947,0.005239799,0.001073083,0.002967293,0.003005233,0.002054163,0.1867871],"category_scores_gemma":[0.006790967,0.001028941,0.001164603,0.01050777,0.0004760355,0.002515519,0.002764322,0.002124825,0.2443997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645939,"about_ca_system_score_gemma":0.002447311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074375,"about_ca_topic_score_gemma":0.03306216,"domain_scores_codex":[0.9988501,0.0001515423,0.0001516218,0.0004053584,0.0002559617,0.000185444],"domain_scores_gemma":[0.9973303,0.0007852864,0.0002522989,0.0006963658,0.0006316315,0.0003041365],"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":[0.00002755436,0.000009768286,0.0003286684,0.0005405032,0.00001506401,0.00001396012,0.00002349899,0.0001138271,0.0001095746,0.0004070195,0.9970878,0.001322875],"study_design_scores_gemma":[0.0000646564,0.000006469411,0.001482306,0.0001886916,0.00001399798,0.00003309287,0.0000665167,0.0001247597,0.0001681521,0.0007733418,0.9970612,0.00001684541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003153918,0.00002384522,0.00004551918,0.00003346897,0.00001130836,0.000004583856,0.998877,0.0003500008,0.0006228306],"genre_scores_gemma":[0.0001507662,0.00003473429,0.0002005396,0.00004578009,0.000003433281,0.00004157098,0.9988524,0.0001841134,0.0004866536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8132129,"threshold_uncertainty_score":0.6248651,"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."}}