{"id":"W6887282931","doi":"10.15468/dl.vw8uhe","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); Field (mathematics)","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":[0.0008773822,0.001949105,0.001524009,0.005080582,0.0009197013,0.002459349,0.002626088,0.001783159,0.1669081],"category_scores_gemma":[0.00547883,0.0009466913,0.001097003,0.01016213,0.0004206332,0.002201492,0.002516954,0.001828214,0.2204782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433449,"about_ca_system_score_gemma":0.002264141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948771,"about_ca_topic_score_gemma":0.03433861,"domain_scores_codex":[0.9989768,0.0001346504,0.0001334195,0.0003669809,0.0002164106,0.0001718025],"domain_scores_gemma":[0.99757,0.0006421325,0.0002449232,0.000641368,0.0006122703,0.0002891644],"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":[0.00003209423,0.00001093061,0.0003807236,0.0005225913,0.00001418062,0.00001333296,0.00002106825,0.0001088445,0.000118759,0.0003776528,0.9970146,0.00138525],"study_design_scores_gemma":[0.00007226267,0.000008428698,0.00189447,0.0001669523,0.00001345056,0.00003316605,0.00006096459,0.0001194076,0.0001741656,0.0007409134,0.9966983,0.00001740647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003812021,0.00002171359,0.00003518909,0.00002704218,0.00001041719,0.000004480571,0.9989655,0.0002925362,0.0006049758],"genre_scores_gemma":[0.0001470915,0.0000309062,0.000174483,0.00004325326,0.000003507163,0.00003863766,0.9989366,0.0001321731,0.0004933692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330919,"threshold_uncertainty_score":0.5583632,"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."}}