{"id":"W6905987354","doi":"10.15468/dl.t4bzbh","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); Alien","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":[0.0009708568,0.001965368,0.001564086,0.004971582,0.001030751,0.002679279,0.002801076,0.002122958,0.1619611],"category_scores_gemma":[0.006075336,0.0008932098,0.001301031,0.009527867,0.0004477192,0.002487451,0.002581734,0.002019935,0.2317441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636529,"about_ca_system_score_gemma":0.002307489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304934,"about_ca_topic_score_gemma":0.03718501,"domain_scores_codex":[0.9989491,0.0001504453,0.0001307538,0.0003683616,0.0002284239,0.000172908],"domain_scores_gemma":[0.9974994,0.0007547021,0.0002116197,0.0006401739,0.0006219494,0.0002721626],"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":[0.00002800567,0.00001179845,0.0003615102,0.0005428159,0.00001384635,0.00001512989,0.00002394539,0.0001155356,0.0001053734,0.0003607187,0.9969885,0.001432832],"study_design_scores_gemma":[0.00006806337,0.000008749344,0.001800473,0.000211839,0.00001444299,0.00003698558,0.00008541049,0.0001597877,0.0001863332,0.0007793289,0.9966301,0.00001838478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004126921,0.00002906383,0.0000441586,0.00004162718,0.00001252039,0.000005937965,0.9987662,0.000397711,0.0006615384],"genre_scores_gemma":[0.0001604634,0.00003629693,0.0002020706,0.00005010773,0.000003668924,0.00004558577,0.9988425,0.0001506285,0.0005086697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380389,"threshold_uncertainty_score":0.5418138,"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."}}