{"id":"W6905822417","doi":"10.15468/dl.rfn5aq","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); Column (typography)","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":[0.001162525,0.002010342,0.001671775,0.005407393,0.001093227,0.002824682,0.002978532,0.002128129,0.1653441],"category_scores_gemma":[0.006747466,0.0009825844,0.001197647,0.01062227,0.0004847395,0.002412207,0.002696287,0.002076043,0.2265856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698297,"about_ca_system_score_gemma":0.002592057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253867,"about_ca_topic_score_gemma":0.03623301,"domain_scores_codex":[0.9987934,0.0001666057,0.0001633343,0.00041911,0.0002675845,0.0001899424],"domain_scores_gemma":[0.9971797,0.0008231809,0.0002691268,0.0007278242,0.0006937113,0.0003063534],"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":[0.00002903812,0.00001098569,0.0003674144,0.0005494229,0.00001553128,0.00001528798,0.00002508579,0.000116255,0.0001163305,0.0003959463,0.997017,0.001341765],"study_design_scores_gemma":[0.00006860814,0.000007392803,0.001710917,0.0001979597,0.00001492559,0.00003719223,0.00007481343,0.000134552,0.0001835841,0.0007485467,0.9968035,0.00001792711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003443498,0.00002484883,0.00004243982,0.00003285464,0.00001080933,0.000004783837,0.9989452,0.0003319474,0.0005728318],"genre_scores_gemma":[0.0001424611,0.00003225286,0.0001850889,0.00004187669,0.000003214975,0.00004058658,0.9989905,0.000143143,0.0004209084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346559,"threshold_uncertainty_score":0.5531312,"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."}}