{"id":"W6905939284","doi":"10.15468/dl.sns2gx","title":"Occurrence Download","year":2021,"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); R package; Invertebrate","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":[0.001136773,0.001991739,0.001731179,0.006459121,0.0009954927,0.002684359,0.002964756,0.001929972,0.2230375],"category_scores_gemma":[0.007020067,0.001053204,0.001135423,0.01239138,0.0004500053,0.002610604,0.003009666,0.002096795,0.286283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719539,"about_ca_system_score_gemma":0.002717031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355215,"about_ca_topic_score_gemma":0.03987828,"domain_scores_codex":[0.9987743,0.0001524021,0.0001564956,0.000413238,0.0002961687,0.0002074232],"domain_scores_gemma":[0.9966521,0.0008662469,0.0003173219,0.0008410261,0.0009012105,0.0004221846],"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":[0.00002523238,0.0000081173,0.0002538087,0.0004521058,0.00001153801,0.00001087852,0.00001961234,0.00007687032,0.00009370899,0.0003248192,0.9974512,0.001272065],"study_design_scores_gemma":[0.00005666299,0.000005985629,0.001497225,0.0001570395,0.00001160378,0.00002586121,0.00005584578,0.00008352624,0.0001587796,0.0006114566,0.9973207,0.00001534397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002495673,0.00001714189,0.00003568897,0.00002587534,0.000008404789,0.000004569491,0.9989616,0.000307639,0.0006140912],"genre_scores_gemma":[0.0001226464,0.00002878931,0.0001836564,0.00003906008,0.000003167025,0.00004120729,0.9988544,0.0001846424,0.0005424038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7769625,"threshold_uncertainty_score":0.7461348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}