{"id":"W6905529959","doi":"10.15468/dl.ka5m2w","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":[0.0009899937,0.00195639,0.001562978,0.004937172,0.001048164,0.002775616,0.002903069,0.002124578,0.1691121],"category_scores_gemma":[0.006187023,0.0009401499,0.001252903,0.009226672,0.0004429481,0.002615508,0.002710762,0.002129378,0.2403462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633882,"about_ca_system_score_gemma":0.002359804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021254,"about_ca_topic_score_gemma":0.03361952,"domain_scores_codex":[0.9989503,0.0001487117,0.000127778,0.0003762337,0.0002277603,0.0001692233],"domain_scores_gemma":[0.997537,0.0007142511,0.0002120241,0.000663607,0.0005999708,0.0002732228],"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":[0.00002550746,0.00001112499,0.0003370897,0.0005123941,0.00001316153,0.00001409113,0.00002187365,0.0001102601,0.0001008374,0.0003681849,0.9970733,0.001412157],"study_design_scores_gemma":[0.00006530687,0.000008125103,0.001602114,0.0001940079,0.00001306804,0.00003665907,0.00007398643,0.0001505185,0.000171602,0.0007912259,0.9968762,0.0000169875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004068114,0.00003049918,0.00004692858,0.00004379956,0.00001418318,0.00000592324,0.9987239,0.0004038961,0.0006901703],"genre_scores_gemma":[0.0001542138,0.00003916218,0.000209375,0.00005462279,0.000004051712,0.00004806732,0.998768,0.0001635478,0.0005588457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8308879,"threshold_uncertainty_score":0.5657365,"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."}}