{"id":"W6905811786","doi":"10.15468/dl.n552ah","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":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Field (mathematics)","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":[0.000896317,0.002105345,0.001600592,0.005238938,0.0009820033,0.002629484,0.00275911,0.001870346,0.1733781],"category_scores_gemma":[0.005581518,0.0009878088,0.001168553,0.0105363,0.0004226239,0.002409828,0.002654621,0.001925904,0.2442676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473565,"about_ca_system_score_gemma":0.002293718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860117,"about_ca_topic_score_gemma":0.03261141,"domain_scores_codex":[0.9989309,0.0001404458,0.0001392675,0.000384604,0.000229293,0.0001754293],"domain_scores_gemma":[0.9975132,0.0006550665,0.0002363137,0.0006706447,0.0006359354,0.0002889137],"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":[0.00003297326,0.00001128033,0.0003393752,0.0005283664,0.00001448497,0.00001399297,0.00002065895,0.0001097263,0.0001234968,0.0003813495,0.9969521,0.001472181],"study_design_scores_gemma":[0.00006834017,0.000008140196,0.001603425,0.0001601967,0.00001331295,0.00003253471,0.00005499164,0.000117665,0.0001756125,0.0007677701,0.9969807,0.00001716035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003686308,0.00002418766,0.00003990314,0.00002801639,0.00001098826,0.000004672374,0.998852,0.0003406689,0.0006626605],"genre_scores_gemma":[0.000134851,0.00003293228,0.000187404,0.00004377187,0.000003534774,0.00003770835,0.9988972,0.0001469338,0.0005155659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8266219,"threshold_uncertainty_score":0.5800077,"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."}}