{"id":"W6962633752","doi":"10.15468/dl.yh9hrz","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); Data collection; Range (aeronautics)","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":[0.0009210425,0.00194668,0.001579165,0.005239607,0.001098427,0.002812546,0.002801199,0.002095615,0.1621343],"category_scores_gemma":[0.006490409,0.0009534087,0.001371459,0.009928152,0.0004161191,0.002637764,0.002692111,0.002035774,0.2360894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745779,"about_ca_system_score_gemma":0.002548415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0257475,"about_ca_topic_score_gemma":0.04088256,"domain_scores_codex":[0.9988927,0.0001295136,0.0001553772,0.0003824678,0.0002595758,0.0001802773],"domain_scores_gemma":[0.9973717,0.0007011291,0.0002286414,0.0006844167,0.0007446421,0.0002695369],"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":[0.00003031788,0.00001101807,0.0004452767,0.0005194161,0.00001418575,0.00001692942,0.00002389582,0.0001195361,0.0001058327,0.0004060882,0.9964676,0.001839885],"study_design_scores_gemma":[0.00005856613,0.000006850892,0.001744261,0.000188235,0.00001241173,0.00004004478,0.00007212962,0.000166608,0.0001735001,0.0007267181,0.9967939,0.00001684266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004347635,0.0000273017,0.00005542275,0.00003986461,0.00001334372,0.000005424661,0.9985587,0.0005170449,0.0007394021],"genre_scores_gemma":[0.0001580055,0.00003599542,0.0002497386,0.00004894522,0.000003844251,0.00003974185,0.9987588,0.0001830041,0.0005219208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378657,"threshold_uncertainty_score":0.5423933,"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."}}