{"id":"W6943886132","doi":"10.15468/dl.znyvje","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":[0.0009329475,0.002086397,0.001627723,0.004772123,0.0009817226,0.002518003,0.002701878,0.001990142,0.1673781],"category_scores_gemma":[0.006060977,0.0009161317,0.001225343,0.009245898,0.0004229058,0.00222698,0.002500044,0.001845558,0.2210345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148459,"about_ca_system_score_gemma":0.002243953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025477,"about_ca_topic_score_gemma":0.03244909,"domain_scores_codex":[0.9989854,0.0001378661,0.0001261831,0.0003704964,0.0002107404,0.0001692215],"domain_scores_gemma":[0.9976527,0.0006938854,0.0002197912,0.0005988453,0.0005754052,0.0002594751],"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":[0.00003213973,0.00001144468,0.0003830576,0.0005664383,0.0000151609,0.00001474636,0.0000207939,0.0001265639,0.0001197141,0.0003435678,0.9969164,0.001450076],"study_design_scores_gemma":[0.00008019224,0.0000107686,0.001939084,0.0001969106,0.00001649939,0.0000386197,0.00006509934,0.0001648254,0.0002039388,0.0008089387,0.9964557,0.00001933682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004235613,0.00002792932,0.00004150688,0.00003396168,0.00001195069,0.00000526302,0.9988398,0.0003930278,0.0006041389],"genre_scores_gemma":[0.0001612986,0.00003462679,0.0001926607,0.0000477775,0.000003716002,0.00004459357,0.9988818,0.0001538887,0.000479676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326219,"threshold_uncertainty_score":0.5599355,"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."}}