{"id":"W6906125034","doi":"10.15468/dl.z7scqu","title":"Occurrence Download","year":2019,"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":[0.0009160173,0.002083629,0.001639759,0.005228948,0.00110318,0.002792503,0.003103722,0.00221118,0.1738316],"category_scores_gemma":[0.006045069,0.0009760295,0.001183338,0.01059324,0.0004833192,0.002573251,0.002827663,0.00213415,0.2467764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184615,"about_ca_system_score_gemma":0.002433321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02428129,"about_ca_topic_score_gemma":0.04044739,"domain_scores_codex":[0.9989551,0.0001298544,0.0001323882,0.0003548816,0.0002470438,0.000180558],"domain_scores_gemma":[0.9976816,0.0006318483,0.0002075127,0.0006031916,0.0006118004,0.0002640499],"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":[0.00002673752,0.00001125353,0.0003215991,0.0005248892,0.00001249509,0.00001561857,0.0000245361,0.0001096516,0.0001060824,0.0003827698,0.9969825,0.001481823],"study_design_scores_gemma":[0.00006664872,0.000007252117,0.001485504,0.0002032306,0.00001239541,0.00004069208,0.00008305428,0.0001445348,0.0001890563,0.0007582091,0.9969919,0.00001741611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004382894,0.0000319025,0.00005227503,0.00004022644,0.0000132068,0.000005775989,0.9985124,0.0004866049,0.0008137376],"genre_scores_gemma":[0.000163447,0.00003849505,0.0002290767,0.00004544008,0.000003329682,0.00004232345,0.9987792,0.0001797759,0.0005189198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261684,"threshold_uncertainty_score":0.5815247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}