{"id":"W6887152064","doi":"10.15468/dl.urnaem","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; Data source","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":[0.001017016,0.001863048,0.00155319,0.005050719,0.0009682369,0.002536542,0.002716675,0.002074629,0.1588677],"category_scores_gemma":[0.006041864,0.0009079052,0.001195209,0.009806719,0.0004435221,0.002228892,0.002458189,0.001982568,0.2209851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584723,"about_ca_system_score_gemma":0.002354089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218043,"about_ca_topic_score_gemma":0.03483029,"domain_scores_codex":[0.9989665,0.0001417474,0.0001303019,0.0003606202,0.0002262259,0.0001746007],"domain_scores_gemma":[0.997362,0.0007799175,0.0002416989,0.0006850869,0.0006389416,0.0002923232],"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":[0.00002851414,0.00001151516,0.000382657,0.0005257662,0.00001434962,0.0000147566,0.00002295813,0.0001244651,0.0001238083,0.0003746864,0.9970037,0.001372798],"study_design_scores_gemma":[0.00006963602,0.000008853117,0.002018048,0.0001980011,0.00001482785,0.00003622816,0.00007574513,0.0001433508,0.0001969213,0.0007556695,0.9964643,0.00001834979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004116571,0.00002438948,0.00003991005,0.0000344079,0.00001119592,0.000004970101,0.9989135,0.0003333177,0.0005971144],"genre_scores_gemma":[0.0001609517,0.00003184373,0.0001844655,0.00004326866,0.000003340784,0.0000413624,0.9989319,0.0001388045,0.0004640169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8411323,"threshold_uncertainty_score":0.5314655,"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."}}