{"id":"W6906140884","doi":"10.15468/dl.wy8mrn","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); Real world data; 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":[0.0008854864,0.001858243,0.001534336,0.004751112,0.001028229,0.002844695,0.002931288,0.001977561,0.1747016],"category_scores_gemma":[0.006036735,0.0009052499,0.001198745,0.009836987,0.0004483342,0.00249957,0.002708032,0.002056586,0.2461755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638478,"about_ca_system_score_gemma":0.002455185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243602,"about_ca_topic_score_gemma":0.03810953,"domain_scores_codex":[0.9990151,0.0001309863,0.0001249882,0.0003562534,0.0002163172,0.0001563397],"domain_scores_gemma":[0.9978758,0.0005889249,0.0001893184,0.0005501286,0.0005547273,0.0002412128],"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":[0.00002614359,0.000009482487,0.0003354037,0.0005453655,0.00001370727,0.00001330041,0.00002207281,0.0001147666,0.00008866066,0.000389106,0.9968513,0.001590774],"study_design_scores_gemma":[0.00005244042,0.00000608375,0.001321324,0.0001778227,0.00001185603,0.00003034104,0.0000647735,0.0001337616,0.0001413343,0.0007636483,0.9972823,0.00001433918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003576197,0.00003225062,0.00004918181,0.00004049082,0.00001282569,0.000005224605,0.9986563,0.0004252292,0.0007426759],"genre_scores_gemma":[0.0001657855,0.00004355168,0.0002265466,0.00004996674,0.000003824656,0.00004324377,0.9986915,0.0001711762,0.0006043264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8252984,"threshold_uncertainty_score":0.5844349,"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."}}