{"id":"W6887312280","doi":"10.15468/dl.zj42g5","title":"Occurrence Download","year":2022,"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); Order (exchange)","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":[0.001146644,0.001991274,0.001652036,0.005345162,0.001075001,0.002809805,0.002970246,0.002069175,0.1818407],"category_scores_gemma":[0.006726748,0.0009843811,0.001153116,0.01044049,0.000472396,0.002428098,0.00267957,0.002074317,0.2510543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706782,"about_ca_system_score_gemma":0.002569229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255762,"about_ca_topic_score_gemma":0.03766115,"domain_scores_codex":[0.9988224,0.0001595299,0.0001541533,0.000409324,0.000264331,0.0001902373],"domain_scores_gemma":[0.9971986,0.0008096205,0.0002600304,0.0007129735,0.0006989184,0.0003199433],"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":[0.00002565983,0.000009576953,0.0003132348,0.000487552,0.00001337312,0.00001336327,0.00002260113,0.0001000991,0.0001054474,0.0003767869,0.9972813,0.001250992],"study_design_scores_gemma":[0.00006203121,0.00000666614,0.001528422,0.0001850871,0.00001339735,0.00003389845,0.00006969117,0.0001193271,0.0001723612,0.0007340378,0.9970584,0.00001675286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003183959,0.00002373913,0.00004367394,0.00003355182,0.00001100085,0.000004559578,0.9988946,0.0003373266,0.0006197372],"genre_scores_gemma":[0.0001377664,0.00003173033,0.0001855997,0.0000428557,0.00000323056,0.00003842136,0.9989455,0.0001566217,0.0004581863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181593,"threshold_uncertainty_score":0.6083179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}