{"id":"W6906169963","doi":"10.15468/dl.xsyrea","title":"Occurrence Download","year":2024,"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); Host (biology); Data collection; Natural history","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":[0.001055895,0.002166635,0.001655991,0.00554157,0.001052037,0.002978123,0.002983429,0.002026259,0.1863977],"category_scores_gemma":[0.007178159,0.001014011,0.001333372,0.01055752,0.0004512994,0.00287701,0.002934623,0.002122182,0.2616867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678414,"about_ca_system_score_gemma":0.002294603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208755,"about_ca_topic_score_gemma":0.03354349,"domain_scores_codex":[0.9988019,0.0001582906,0.0001536661,0.0004400887,0.0002609968,0.0001849883],"domain_scores_gemma":[0.997256,0.0008075873,0.0002335142,0.0007195679,0.0006699855,0.000313413],"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":[0.00002772304,0.00001003889,0.0003099861,0.0004789142,0.00001280726,0.00001250669,0.00002137641,0.0001048429,0.00008025331,0.000318,0.9971366,0.001486916],"study_design_scores_gemma":[0.00006986522,0.000008174597,0.001515059,0.0001830283,0.00001304049,0.00003432816,0.00007373399,0.0001718239,0.0001560258,0.0008072102,0.9969515,0.00001635588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003451755,0.0000251271,0.00004731463,0.00003643886,0.00001254667,0.000005795801,0.9987749,0.0004351372,0.0006283003],"genre_scores_gemma":[0.0001409517,0.00003487186,0.0002275278,0.0000452162,0.000004081749,0.00004827348,0.9987753,0.0001870046,0.0005367048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8136023,"threshold_uncertainty_score":0.6235624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}