{"id":"W6906209570","doi":"10.15468/dl.wkm8yc","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Task (project management); Data set","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":[0.0009977021,0.001938552,0.001633105,0.005040617,0.001038159,0.003056048,0.002995794,0.001912846,0.2006799],"category_scores_gemma":[0.006513317,0.0009800046,0.001254034,0.01052537,0.000460927,0.002567171,0.002928054,0.002119674,0.2760376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732207,"about_ca_system_score_gemma":0.002604186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585941,"about_ca_topic_score_gemma":0.04035915,"domain_scores_codex":[0.9989794,0.000130906,0.0001321072,0.0003601379,0.000226017,0.0001714319],"domain_scores_gemma":[0.9975865,0.0006859571,0.0002163115,0.0006260613,0.0006069224,0.0002782102],"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":[0.00002388164,0.000008576329,0.0003041566,0.000495656,0.00001310223,0.00001305917,0.00002380436,0.0000919687,0.00008661968,0.0003941845,0.9971806,0.0013644],"study_design_scores_gemma":[0.00005293354,0.000005657461,0.00140933,0.0001838893,0.00001252864,0.00003152221,0.00006565326,0.0001148089,0.0001514242,0.0007990745,0.9971578,0.00001540833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002887987,0.00002595219,0.00004657288,0.00003674355,0.000012421,0.000005043599,0.9986677,0.0004425299,0.0007342514],"genre_scores_gemma":[0.0001448082,0.00004009477,0.0002110127,0.0000501016,0.000003697585,0.0000454648,0.9986916,0.0002198051,0.0005933998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.79932,"threshold_uncertainty_score":0.6713413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}