{"id":"W6943831200","doi":"10.15468/dl.xy77sy","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); Alien; Range (aeronautics); Data set","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":[0.001017533,0.002033392,0.001637,0.004866877,0.001035146,0.002630974,0.002782213,0.002135469,0.1473565],"category_scores_gemma":[0.006170462,0.0009240791,0.001309088,0.009398812,0.0004422777,0.002417311,0.002571686,0.002012645,0.2239844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509617,"about_ca_system_score_gemma":0.002295524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987488,"about_ca_topic_score_gemma":0.03163983,"domain_scores_codex":[0.9989255,0.0001543804,0.0001365771,0.0003837849,0.0002269809,0.0001727187],"domain_scores_gemma":[0.9974407,0.0007529539,0.0002171481,0.0006962935,0.0006089674,0.0002839937],"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":[0.00003186408,0.00001262708,0.0003927075,0.0005540369,0.0000155822,0.00001598867,0.00002316018,0.0001319186,0.0001233403,0.0003511352,0.996904,0.001443616],"study_design_scores_gemma":[0.00008083064,0.00001050355,0.002084014,0.0002132736,0.00001657428,0.00004218705,0.00008149576,0.0001918511,0.0002068755,0.000811763,0.9962415,0.00001923824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005088795,0.00003147161,0.00004966099,0.00004088946,0.00001430392,0.000006061607,0.9987219,0.000460623,0.0006241451],"genre_scores_gemma":[0.000161483,0.00003475937,0.0001940773,0.00004690731,0.000003772991,0.00004324537,0.9989342,0.0001473753,0.0004341067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8526435,"threshold_uncertainty_score":0.4929565,"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."}}