{"id":"W6905934858","doi":"10.15468/dl.puuq9y","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":[0.001025818,0.00198675,0.001591675,0.005721532,0.001063879,0.002637218,0.002865021,0.002033945,0.1511878],"category_scores_gemma":[0.005830243,0.0009497649,0.001157097,0.01088776,0.0004643022,0.002316073,0.002710009,0.002050131,0.2195722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635224,"about_ca_system_score_gemma":0.002628691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289579,"about_ca_topic_score_gemma":0.04009388,"domain_scores_codex":[0.9988562,0.0001466572,0.0001453929,0.0003898572,0.0002666244,0.0001952808],"domain_scores_gemma":[0.9973859,0.000676555,0.0002517976,0.0006932326,0.0006651898,0.0003272411],"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":[0.00003295815,0.00001189161,0.0003707218,0.000561526,0.00001552406,0.00001636117,0.00002459398,0.0001056707,0.0001475651,0.0004011362,0.9969458,0.00136627],"study_design_scores_gemma":[0.00006847559,0.000007750363,0.001851866,0.0001810086,0.00001444745,0.00003784619,0.00006710711,0.0001067051,0.0002045911,0.0006723783,0.9967704,0.00001733217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004138761,0.00002619738,0.00003792471,0.00003075748,0.00001017123,0.000005224701,0.998869,0.0003294044,0.0006498499],"genre_scores_gemma":[0.0001388172,0.00003190708,0.0001622408,0.00004089583,0.000002968763,0.00003534328,0.9990357,0.0001308225,0.0004212375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8488122,"threshold_uncertainty_score":0.5057734,"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."}}