{"id":"W6887282946","doi":"10.15468/dl.uarp2y","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":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0009737965,0.001980298,0.001651139,0.005323503,0.001030125,0.003013767,0.002937273,0.001969345,0.1951818],"category_scores_gemma":[0.006582805,0.0009642071,0.001257308,0.01117963,0.0004467895,0.00254677,0.002745612,0.002051067,0.2815487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682673,"about_ca_system_score_gemma":0.00248705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161615,"about_ca_topic_score_gemma":0.03442405,"domain_scores_codex":[0.9989206,0.0001406821,0.0001425684,0.000382972,0.0002380042,0.0001752635],"domain_scores_gemma":[0.9974415,0.0007289051,0.0002222306,0.0006573897,0.0006707642,0.0002792484],"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":[0.00002428551,0.000009251127,0.0003232438,0.000551708,0.00001304938,0.00001307954,0.00002268842,0.0001027749,0.0000907046,0.0003698754,0.9969652,0.001514111],"study_design_scores_gemma":[0.00005128926,0.000005977568,0.001330215,0.0001749236,0.00001169617,0.00002944988,0.00006659883,0.0001117433,0.0001478858,0.0007191281,0.9973368,0.0000143456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003117221,0.00002695577,0.00004452978,0.00003480384,0.00001131842,0.000004891864,0.998754,0.0003771375,0.0007152375],"genre_scores_gemma":[0.0001404096,0.00004235931,0.0002114095,0.00004847079,0.000003843884,0.00004359201,0.9987251,0.0001845748,0.0006001554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8048182,"threshold_uncertainty_score":0.6529483,"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."}}