{"id":"W6905982261","doi":"10.15468/dl.vuhc24","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; State (computer science)","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":[0.000977607,0.00195988,0.0015105,0.004890334,0.001023419,0.002570928,0.002669548,0.002156815,0.163811],"category_scores_gemma":[0.006225005,0.0008682275,0.001245108,0.009093326,0.0004432472,0.002396844,0.002552858,0.001942519,0.2304537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508016,"about_ca_system_score_gemma":0.002273869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115902,"about_ca_topic_score_gemma":0.03438704,"domain_scores_codex":[0.9989561,0.0001496579,0.0001272368,0.0003745429,0.0002228499,0.0001697236],"domain_scores_gemma":[0.997362,0.000786487,0.0002272301,0.0006977647,0.0006394698,0.0002871031],"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":[0.00002773601,0.00001187373,0.0003975338,0.0004898613,0.00001292766,0.00001505831,0.00002282126,0.0001229385,0.0001000661,0.0003395382,0.9970468,0.001412882],"study_design_scores_gemma":[0.00007149504,0.000009407965,0.001917575,0.000198224,0.0000137475,0.00003739517,0.00008293435,0.0001759858,0.0001802918,0.000801365,0.9964936,0.00001807961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004778527,0.00002857299,0.00004718115,0.00004394543,0.00001431297,0.000006180356,0.9986975,0.0004314175,0.0006830526],"genre_scores_gemma":[0.0001791877,0.00003428867,0.0002124455,0.00005275041,0.000004296182,0.00004717881,0.9988091,0.0001530639,0.0005076721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836189,"threshold_uncertainty_score":0.5480024,"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."}}