{"id":"W6962068750","doi":"10.15468/dl.r4xmdf","title":"Occurrence Download","year":2020,"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); Identification (biology); Range (aeronautics); Work (physics)","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":[0.001087341,0.001874283,0.001714118,0.005271103,0.0009568408,0.002763053,0.002845938,0.002036232,0.1867407],"category_scores_gemma":[0.006481292,0.0009471208,0.001136913,0.01019101,0.0004449208,0.002471258,0.002660462,0.001956563,0.2348663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527095,"about_ca_system_score_gemma":0.002359354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193166,"about_ca_topic_score_gemma":0.03022012,"domain_scores_codex":[0.9989609,0.0001378719,0.0001371996,0.0003613839,0.0002245403,0.0001781504],"domain_scores_gemma":[0.9974672,0.0007415299,0.0002462941,0.0006095582,0.0006357181,0.0002998153],"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":[0.00003067854,0.000009693486,0.0003738865,0.0007035733,0.00001698264,0.00001507497,0.00002551001,0.0001207643,0.0001296899,0.0004443715,0.9965779,0.001551823],"study_design_scores_gemma":[0.00006307755,0.000007014341,0.001731289,0.000226553,0.00001516135,0.00003323956,0.00006460148,0.0001097567,0.0001735972,0.0007754663,0.9967827,0.00001757416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002853147,0.0000252273,0.00003620125,0.0000288591,0.000009884052,0.000003927254,0.9990313,0.0002778937,0.0005581767],"genre_scores_gemma":[0.0001450707,0.00003779351,0.0001812333,0.00004539561,0.00000337214,0.00003774697,0.9989623,0.0001476398,0.0004394396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8132593,"threshold_uncertainty_score":0.6247098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}