{"id":"W6887173985","doi":"10.15468/dl.s7v59v","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":[0.0009056829,0.002019771,0.001497232,0.004910217,0.0009658194,0.002406699,0.002624601,0.001899332,0.1655239],"category_scores_gemma":[0.005825265,0.0008961111,0.001170074,0.009697063,0.0004394813,0.002141736,0.002510779,0.001762637,0.2241243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439097,"about_ca_system_score_gemma":0.002269582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046052,"about_ca_topic_score_gemma":0.0333417,"domain_scores_codex":[0.9990062,0.0001342232,0.0001260102,0.0003582876,0.0002066692,0.0001686859],"domain_scores_gemma":[0.9976585,0.0006624563,0.0002228535,0.0005961732,0.0005891005,0.0002709561],"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":[0.00003160616,0.00001148929,0.0004011629,0.0005259811,0.00001357046,0.0000144164,0.00002115253,0.0001273496,0.0001220508,0.0003443135,0.9969341,0.00145276],"study_design_scores_gemma":[0.00007762639,0.000010629,0.001942375,0.0001858114,0.00001475878,0.00003720263,0.00006921955,0.0001552176,0.000200387,0.0007812492,0.9965071,0.00001829743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004606858,0.0000256792,0.00004025906,0.0000316919,0.00001217624,0.000005050882,0.9988229,0.0003746391,0.0006414728],"genre_scores_gemma":[0.000163783,0.00003245383,0.0001932756,0.00004496234,0.000003651237,0.00004087291,0.9988852,0.0001501745,0.0004856063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8344761,"threshold_uncertainty_score":0.5537325,"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."}}