{"id":"W6962285347","doi":"10.15468/dl.yxkd7j","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); 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":[0.0009354901,0.002015211,0.001602402,0.004757471,0.001014139,0.002590345,0.002763104,0.001964709,0.1688934],"category_scores_gemma":[0.005957786,0.0009291065,0.001201452,0.009490401,0.0004298712,0.002306776,0.002555562,0.001924673,0.2254703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154473,"about_ca_system_score_gemma":0.002293014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090984,"about_ca_topic_score_gemma":0.03433489,"domain_scores_codex":[0.998998,0.0001335415,0.0001227358,0.000363049,0.0002152883,0.0001673632],"domain_scores_gemma":[0.9977177,0.0006509349,0.000216674,0.0005762697,0.0005811781,0.000257293],"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":[0.00002978483,0.00001086284,0.0003676613,0.0005538096,0.00001425641,0.00001422912,0.00002183852,0.0001211383,0.0001194629,0.0003691645,0.9969112,0.001466548],"study_design_scores_gemma":[0.00006854104,0.000008968123,0.001729445,0.0001852284,0.00001432126,0.00003501218,0.00006228111,0.0001418001,0.0001852616,0.0007888081,0.9967625,0.00001789364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004079088,0.00002752004,0.00004453807,0.00003464116,0.0000122632,0.000005204052,0.998778,0.0003912546,0.0006656868],"genre_scores_gemma":[0.0001599905,0.00003533554,0.0002052654,0.00004933422,0.000003656611,0.00004529123,0.9988129,0.0001681354,0.0005200478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311067,"threshold_uncertainty_score":0.5650046,"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."}}