{"id":"W6905923560","doi":"10.15468/dl.yrufq2","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); Data set; Order (exchange)","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":[0.0009885912,0.002020818,0.001616922,0.004787016,0.001035054,0.002571743,0.002875037,0.00216245,0.1489472],"category_scores_gemma":[0.005938479,0.0009190754,0.001225951,0.009385902,0.0004536017,0.002341422,0.002589107,0.002071044,0.2181509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723519,"about_ca_system_score_gemma":0.002336934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02417296,"about_ca_topic_score_gemma":0.03926275,"domain_scores_codex":[0.9989925,0.0001344258,0.0001249616,0.0003502567,0.0002326997,0.0001651717],"domain_scores_gemma":[0.9976876,0.0006436212,0.0002175898,0.0006129718,0.0005771648,0.000260981],"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":[0.00002992973,0.00001146189,0.0003916571,0.0005219462,0.00001512776,0.00001615435,0.00002590988,0.0001374982,0.0001193142,0.0004065968,0.9968591,0.001465288],"study_design_scores_gemma":[0.00007123731,0.0000078461,0.001791494,0.0001931002,0.00001398343,0.00003842001,0.00007448951,0.0001692161,0.0001896492,0.0008049026,0.9966279,0.00001776602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004390267,0.00002848406,0.00005103027,0.00003792465,0.00001205875,0.000005339047,0.9987205,0.0004512617,0.0006494538],"genre_scores_gemma":[0.0001629722,0.00003176105,0.0002122459,0.00004422366,0.00000318882,0.00004016026,0.998908,0.0001631662,0.0004342106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8510528,"threshold_uncertainty_score":0.4982779,"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."}}