{"id":"W6924821711","doi":"10.15468/dl.mmx4rn","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":[0.001052033,0.001894297,0.001552854,0.004688336,0.001011029,0.00250656,0.002824449,0.002165602,0.1465683],"category_scores_gemma":[0.005875496,0.0008876895,0.001239569,0.008796953,0.0004601004,0.002256021,0.002472895,0.002032717,0.2087723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579213,"about_ca_system_score_gemma":0.00227995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202771,"about_ca_topic_score_gemma":0.03322718,"domain_scores_codex":[0.9989468,0.0001484313,0.000132711,0.0003668812,0.000229469,0.0001756756],"domain_scores_gemma":[0.9974826,0.0007459979,0.0002224412,0.0006825476,0.0005883222,0.0002780287],"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":[0.00003088408,0.00001350804,0.0004075541,0.0005398787,0.00001487234,0.00001579138,0.00002354202,0.0001312678,0.0001368853,0.0003733676,0.9968686,0.001443835],"study_design_scores_gemma":[0.0000774758,0.0000100482,0.00214515,0.0002167401,0.00001569826,0.00004249759,0.00008145042,0.0001681234,0.0002219286,0.0007585276,0.9962437,0.0000186061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004884031,0.00002813804,0.00004459545,0.00003773604,0.00001250607,0.000005750661,0.9988371,0.0003656902,0.0006196028],"genre_scores_gemma":[0.0001637966,0.0000313501,0.000193092,0.00004324205,0.000003235702,0.00004106267,0.9989854,0.0001225442,0.000416387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8534318,"threshold_uncertainty_score":0.4903197,"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."}}