{"id":"W6905808979","doi":"10.15468/dl.qnqb5f","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; Alien; Range (aeronautics); 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":[0.0009401235,0.00203835,0.001536263,0.004863894,0.0009923243,0.002504822,0.002651924,0.002031557,0.1535261],"category_scores_gemma":[0.005953338,0.000884594,0.00121498,0.009660996,0.0004398836,0.002160558,0.002442665,0.001819075,0.209706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150877,"about_ca_system_score_gemma":0.00229602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132288,"about_ca_topic_score_gemma":0.03397088,"domain_scores_codex":[0.998952,0.0001451159,0.0001348764,0.0003749558,0.0002204068,0.0001725079],"domain_scores_gemma":[0.9976193,0.0006990375,0.0002269703,0.0005924301,0.0006016488,0.0002604909],"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":[0.00003279472,0.00001229305,0.0004278518,0.0005483539,0.00001437869,0.00001551838,0.00002120282,0.0001318551,0.0001215239,0.0003519591,0.9968637,0.001458566],"study_design_scores_gemma":[0.00008278582,0.00001119255,0.002019088,0.0001996949,0.00001592805,0.000039915,0.00007063193,0.000170901,0.0002049633,0.0008005777,0.9963647,0.00001968645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004785592,0.00002830058,0.00003913029,0.00003473914,0.00001198729,0.000005279014,0.9988567,0.0003583125,0.0006176551],"genre_scores_gemma":[0.0001680127,0.0000340152,0.0001864844,0.00004553582,0.000003619879,0.00004285125,0.9989324,0.0001326514,0.0004544222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464739,"threshold_uncertainty_score":0.5135959,"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."}}