{"id":"W4396207232","doi":"10.15468/dl.f9668e","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":["insufficient_payload"],"category_scores_codex":[0.0007615348,0.002943142,0.002268991,0.006721353,0.001274319,0.003600635,0.002505692,0.002472321,0.3536668],"category_scores_gemma":[0.005488254,0.001088141,0.001904654,0.009636714,0.0004287317,0.003682758,0.003987192,0.002306799,0.4156637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442163,"about_ca_system_score_gemma":0.002646405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232586,"about_ca_topic_score_gemma":0.03708303,"domain_scores_codex":[0.9988878,0.0001282327,0.0001630062,0.0003927353,0.0002328087,0.0001954209],"domain_scores_gemma":[0.9976152,0.0006647295,0.0001768332,0.0005957329,0.000582677,0.0003647103],"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":[0.000051764,0.00001707891,0.0002643144,0.0006674536,0.00001473526,0.00002420285,0.00002975557,0.0001303815,0.0001026529,0.0004409624,0.9947104,0.003546299],"study_design_scores_gemma":[0.00008130547,0.00001319827,0.00108837,0.0001977362,0.00001657061,0.0000528974,0.0000888896,0.0003033073,0.000164668,0.001261485,0.9967059,0.0000256594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007285154,0.00008527188,0.0001585367,0.00007420358,0.00004256406,0.0000158913,0.9946789,0.002321646,0.002550196],"genre_scores_gemma":[0.0003052972,0.000115425,0.0007415242,0.0001293447,0.000012656,0.00007272872,0.9961348,0.0006656555,0.001822737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6463332,"threshold_uncertainty_score":0.9219159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838592469440387,"score_gpt":0.2491379319485379,"score_spread":0.230752007254134,"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."}}