{"id":"W6943628941","doi":"10.15468/dl.wamkfd","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":[0.0009202794,0.00204381,0.001564104,0.004463067,0.0009921206,0.00248725,0.002658853,0.002077299,0.1436336],"category_scores_gemma":[0.005508992,0.0008719537,0.001299554,0.008596106,0.00043333,0.002190277,0.002460041,0.001919715,0.2138124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425691,"about_ca_system_score_gemma":0.002120861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919445,"about_ca_topic_score_gemma":0.03087827,"domain_scores_codex":[0.9990535,0.0001321574,0.0001188616,0.000340131,0.0001985661,0.0001567259],"domain_scores_gemma":[0.9977812,0.0006441341,0.0002038799,0.0005888711,0.0005177397,0.0002641579],"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":[0.00003169298,0.00001261308,0.0004151882,0.0005400482,0.00001577728,0.00001620016,0.00002213031,0.0001378824,0.0001224145,0.0003091885,0.9969327,0.001444103],"study_design_scores_gemma":[0.00009105806,0.00001204192,0.002303056,0.0002166188,0.00001782772,0.00004493267,0.00008386822,0.0002159435,0.0002275168,0.0007921371,0.9959752,0.00001989317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005434491,0.0000323667,0.00004341638,0.00004110847,0.00001521227,0.000006098132,0.9988014,0.0004277135,0.0005783024],"genre_scores_gemma":[0.0001747402,0.00003496401,0.0001869934,0.00004866315,0.000004227171,0.00004459023,0.9989403,0.0001299265,0.0004356283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563664,"threshold_uncertainty_score":0.4805024,"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."}}