{"id":"W6924748050","doi":"10.15468/dl.we4j2v","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; Range (aeronautics); State (computer science); Identification (biology)","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":[0.000904439,0.002066186,0.001594394,0.005053211,0.0009993812,0.002498561,0.002809181,0.001986152,0.1628457],"category_scores_gemma":[0.005634586,0.000966746,0.001160719,0.01024792,0.000450494,0.002318086,0.002543301,0.001994138,0.2190916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550744,"about_ca_system_score_gemma":0.002270462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104853,"about_ca_topic_score_gemma":0.03524941,"domain_scores_codex":[0.9989784,0.0001372188,0.0001283132,0.0003721579,0.0002145385,0.0001693715],"domain_scores_gemma":[0.9976813,0.0006514569,0.0002310231,0.0005903085,0.0005779542,0.0002681078],"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":[0.00003132055,0.00001090533,0.0003664344,0.0005519287,0.00001484743,0.00001433654,0.00002242053,0.00012518,0.0001182626,0.0003841897,0.9969698,0.001390404],"study_design_scores_gemma":[0.00007420255,0.000008552852,0.001737036,0.0001791432,0.00001432968,0.00003641643,0.00006296505,0.0001320025,0.0001767007,0.0007989061,0.9967617,0.00001795596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004019479,0.0000269792,0.00003980365,0.00003101476,0.00001145249,0.000004472191,0.9988856,0.000324546,0.0006360662],"genre_scores_gemma":[0.0001501126,0.00003487237,0.0001893556,0.00004604238,0.000003399538,0.00003897268,0.9989146,0.0001458064,0.0004768555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371543,"threshold_uncertainty_score":0.5447731,"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."}}