{"id":"W6905796477","doi":"10.15468/dl.r2sv29","title":"Occurrence Download","year":2023,"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); Set (abstract data type); 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":[0.0009689992,0.001969483,0.001566336,0.004837121,0.000989362,0.002471047,0.002843749,0.002097487,0.1477624],"category_scores_gemma":[0.005858522,0.0008977841,0.001216259,0.009634812,0.0004670313,0.002194429,0.002634711,0.002004437,0.2176121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160526,"about_ca_system_score_gemma":0.002378741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321961,"about_ca_topic_score_gemma":0.0379066,"domain_scores_codex":[0.9990423,0.0001250935,0.0001237919,0.0003323627,0.0002141961,0.0001622148],"domain_scores_gemma":[0.9977322,0.000627448,0.0002131534,0.0006102978,0.0005635721,0.0002533896],"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":[0.00002962916,0.00001146922,0.0004254846,0.0005793133,0.0000165486,0.00001703101,0.0000300494,0.0001445991,0.0001444691,0.0004182677,0.9966008,0.001582409],"study_design_scores_gemma":[0.00006580648,0.000007484291,0.001828793,0.0001917902,0.00001473481,0.00003796142,0.00007985718,0.000153334,0.0001932462,0.0007457992,0.9966635,0.00001771086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004500176,0.00002677031,0.00004807323,0.00003408311,0.0000118516,0.000005074653,0.9987984,0.0004023748,0.0006283333],"genre_scores_gemma":[0.0001664684,0.0000323597,0.0002144375,0.00004086851,0.00000312178,0.00004066425,0.9989207,0.0001568383,0.0004245082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8522376,"threshold_uncertainty_score":0.4943145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}