{"id":"W6905863411","doi":"10.15468/dl.u7uk96","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); Pteridium aquilinum; Range (aeronautics); Overhead (engineering); 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":[0.001114094,0.001972263,0.001679982,0.005374508,0.001036555,0.002707408,0.002901411,0.002028603,0.1722825],"category_scores_gemma":[0.006513542,0.0009641406,0.001150849,0.01069169,0.0004636556,0.002331562,0.002634423,0.002058154,0.2306289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707258,"about_ca_system_score_gemma":0.002493597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344593,"about_ca_topic_score_gemma":0.03739553,"domain_scores_codex":[0.9988781,0.0001491825,0.000145932,0.0003852968,0.0002567055,0.0001847611],"domain_scores_gemma":[0.9972948,0.0007727481,0.0002630907,0.0006883544,0.0006776767,0.0003033169],"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":[0.000028144,0.00001020991,0.0003697839,0.0005483316,0.00001544047,0.00001470162,0.00002508584,0.0001207224,0.0001176549,0.0003947173,0.9969639,0.00139126],"study_design_scores_gemma":[0.00006624407,0.000007026835,0.001806566,0.0001993277,0.00001452682,0.00003522856,0.00007267228,0.0001290361,0.0001782613,0.0007381511,0.9967353,0.00001762149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000348042,0.00002442717,0.00004300406,0.00003159285,0.00001052415,0.000004482289,0.9989102,0.0003348667,0.0006061547],"genre_scores_gemma":[0.0001440289,0.00003138878,0.0001865071,0.00003924809,0.000003013151,0.00003835405,0.9989624,0.0001552153,0.0004397818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277174,"threshold_uncertainty_score":0.5763425,"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."}}