{"id":"W6924802006","doi":"10.15468/dl.tyxh73","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0009698259,0.002524525,0.001535319,0.005003958,0.001044282,0.002412692,0.002973573,0.002200502,0.1155064],"category_scores_gemma":[0.005436799,0.0009320883,0.00128388,0.009004441,0.0004855484,0.002230007,0.002538818,0.001969186,0.1749683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703362,"about_ca_system_score_gemma":0.002560798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125999,"about_ca_topic_score_gemma":0.03667229,"domain_scores_codex":[0.9989535,0.000140169,0.0001407179,0.000375271,0.0002336437,0.0001566224],"domain_scores_gemma":[0.9979416,0.0005894675,0.0001916927,0.0005176899,0.000494811,0.0002649117],"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":[0.00003956183,0.00001745772,0.0004067224,0.000589715,0.00001628567,0.00002194807,0.00002411991,0.0001721375,0.0001586338,0.0004132329,0.9963807,0.00175949],"study_design_scores_gemma":[0.00009698098,0.00001219776,0.001746753,0.000182682,0.00001620101,0.00005597556,0.00007393611,0.0002818796,0.0002816313,0.0009230791,0.9963083,0.00002032241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007328273,0.00004064555,0.0000623775,0.00004794572,0.00001406501,0.0000084583,0.9983281,0.0006087282,0.0008163999],"genre_scores_gemma":[0.0001746623,0.00003751643,0.0002587649,0.00004660125,0.00000306215,0.00004293666,0.998875,0.0001307703,0.0004308007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8844936,"threshold_uncertainty_score":0.3864073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452719595757265,"score_gpt":0.2348229748668023,"score_spread":0.2202957789092297,"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."}}