{"id":"W6887070242","doi":"10.15468/dl.nc3zxp","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); Data set; Set (abstract data type)","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":[0.00112146,0.002002446,0.001672638,0.005152066,0.001025158,0.002794373,0.002999886,0.002035015,0.1765351],"category_scores_gemma":[0.006361943,0.001027621,0.001173912,0.01038325,0.0004607783,0.002478355,0.002724724,0.002072431,0.2353534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605991,"about_ca_system_score_gemma":0.002406961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083918,"about_ca_topic_score_gemma":0.0334923,"domain_scores_codex":[0.998853,0.0001518616,0.0001478443,0.000398807,0.0002618503,0.00018662],"domain_scores_gemma":[0.9974184,0.0007369273,0.0002397981,0.0006901253,0.0006212021,0.000293426],"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":[0.00002698019,0.00001008986,0.0003304124,0.0005076095,0.00001488972,0.00001347439,0.00002361075,0.0001124097,0.000107727,0.0003907869,0.9971024,0.00135938],"study_design_scores_gemma":[0.00006610637,0.000006787307,0.001616131,0.0001854064,0.00001409013,0.00003407076,0.00006798913,0.0001295216,0.000178314,0.0007429983,0.9969416,0.00001693239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003493157,0.00002426731,0.00004754433,0.0000318112,0.00001109614,0.000004757551,0.9988542,0.0003710867,0.0006204022],"genre_scores_gemma":[0.0001443479,0.00003161062,0.0001918454,0.00004124395,0.00000311591,0.00003930042,0.9989251,0.0001686735,0.0004547603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8234649,"threshold_uncertainty_score":0.5905688,"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."}}