{"id":"W6906116027","doi":"10.15468/dl.ut7yw2","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); 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":[0.0009285233,0.00206196,0.001551575,0.005196842,0.0009936184,0.002513493,0.002655319,0.00196412,0.1719525],"category_scores_gemma":[0.00599575,0.0009083313,0.001192102,0.01030547,0.0004591077,0.002109303,0.002501669,0.001795227,0.2298632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509398,"about_ca_system_score_gemma":0.002350804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180777,"about_ca_topic_score_gemma":0.03450894,"domain_scores_codex":[0.9989616,0.0001419487,0.0001313561,0.0003699784,0.0002181483,0.000176938],"domain_scores_gemma":[0.997561,0.000710762,0.0002337545,0.0006062668,0.0006133363,0.0002747968],"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":[0.0000306826,0.00001127326,0.0003923982,0.0005209499,0.00001345072,0.0000140322,0.00002122732,0.000122182,0.0001121693,0.0003304158,0.997033,0.001398191],"study_design_scores_gemma":[0.00008094628,0.00001062833,0.001927596,0.0001899777,0.00001501504,0.00003663161,0.00007103192,0.0001535421,0.0001918469,0.0007651663,0.996539,0.00001859983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004549713,0.00002656838,0.0000367522,0.0000326374,0.00001180459,0.000005068609,0.9988608,0.0003544979,0.0006263131],"genre_scores_gemma":[0.0001643923,0.0000335492,0.0001791422,0.0000440413,0.000003696645,0.00004293038,0.9989061,0.0001465896,0.0004795889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8280475,"threshold_uncertainty_score":0.5752386,"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."}}