{"id":"W6962334924","doi":"10.15468/dl.zhzgkh","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); 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":[0.0009135802,0.002123935,0.001528231,0.004970667,0.0009723078,0.002399502,0.002664923,0.001949797,0.1600241],"category_scores_gemma":[0.005757647,0.0009115196,0.001221326,0.009636637,0.000446262,0.002179621,0.002557524,0.001778669,0.218777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458435,"about_ca_system_score_gemma":0.002250643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041449,"about_ca_topic_score_gemma":0.03263723,"domain_scores_codex":[0.9989854,0.0001373962,0.0001284504,0.0003679164,0.0002097183,0.000171063],"domain_scores_gemma":[0.9977011,0.0006509628,0.0002176595,0.0005920692,0.0005682168,0.0002699453],"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":[0.00003387219,0.00001243847,0.000423949,0.0005541584,0.00001433927,0.00001522912,0.00002211053,0.000134175,0.0001317417,0.0003457054,0.9967774,0.001535026],"study_design_scores_gemma":[0.00008247946,0.00001160297,0.001999725,0.0001903208,0.0000152615,0.00003967675,0.00007150655,0.0001636268,0.0002061353,0.0007785661,0.9964222,0.0000189557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005082364,0.00002879678,0.000040976,0.00003376143,0.00001292043,0.000005359127,0.9987838,0.0004053287,0.000638213],"genre_scores_gemma":[0.0001637415,0.0000339094,0.0001899693,0.00004574529,0.000003596718,0.00004063253,0.9989253,0.0001449137,0.0004522612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399758,"threshold_uncertainty_score":0.5353341,"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."}}