{"id":"W6887256025","doi":"10.15468/dl.w4jxe4","title":"Occurrence Download","year":2024,"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; Alien; Range (aeronautics)","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":[0.0009310925,0.001966956,0.001585159,0.005386052,0.0009730486,0.002856046,0.002821024,0.001872991,0.2021547],"category_scores_gemma":[0.006535248,0.0009839874,0.00125317,0.01092661,0.000435245,0.002436905,0.002753564,0.001839766,0.2638677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169536,"about_ca_system_score_gemma":0.002595045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409748,"about_ca_topic_score_gemma":0.03767955,"domain_scores_codex":[0.9989259,0.0001436032,0.0001410307,0.0003849778,0.0002243073,0.0001801575],"domain_scores_gemma":[0.9975715,0.0006911286,0.0002280547,0.0006126761,0.0006329926,0.0002635866],"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":[0.00002616756,0.000007916134,0.0003115144,0.0005443103,0.00001254176,0.00001225274,0.00002263172,0.00009730471,0.00008773938,0.0003816186,0.9969788,0.0015173],"study_design_scores_gemma":[0.00004929674,0.000005942039,0.001219498,0.0001675866,0.00001236817,0.00002819606,0.00005687152,0.0001024386,0.0001442174,0.0006918272,0.997507,0.00001490037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003172838,0.00002812046,0.00004371257,0.00003443167,0.00001086916,0.000004786634,0.9986748,0.0004165424,0.0007551825],"genre_scores_gemma":[0.0001616682,0.00004562391,0.0002266519,0.00005390082,0.000003753012,0.00004776505,0.998533,0.000223253,0.0007043088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7978454,"threshold_uncertainty_score":0.6762747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}