{"id":"W6905867194","doi":"10.15468/dl.w7mvpm","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); Listing (finance); Range (aeronautics); Column (typography)","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":[0.001051459,0.002091362,0.001743039,0.005622989,0.0009829272,0.002759872,0.002880909,0.001902654,0.2041347],"category_scores_gemma":[0.006105161,0.001000193,0.001154746,0.01046746,0.0004516683,0.002383322,0.002930667,0.001943746,0.2685083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752937,"about_ca_system_score_gemma":0.002468164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02340236,"about_ca_topic_score_gemma":0.03645485,"domain_scores_codex":[0.9990399,0.0001135066,0.0001194683,0.0003281685,0.0002182236,0.0001807674],"domain_scores_gemma":[0.9976331,0.0006306076,0.000233084,0.0005895841,0.0006326876,0.000280875],"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":[0.0000266593,0.000008225324,0.0002970343,0.0005881599,0.00001426986,0.00001324619,0.0000215807,0.00009571085,0.0001024356,0.0003959216,0.9970434,0.001393256],"study_design_scores_gemma":[0.00006156846,0.000005815755,0.001462601,0.0002168049,0.00001315528,0.0000266876,0.00005542507,0.00009606,0.000168334,0.0007451344,0.997133,0.00001541396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002206628,0.00001932218,0.0000333793,0.00002438777,0.000008799707,0.00000430519,0.9989542,0.0003140177,0.00061953],"genre_scores_gemma":[0.0001354943,0.00003484573,0.0001830481,0.00004220912,0.000003340298,0.00004141799,0.9988723,0.0001917016,0.0004955712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7958653,"threshold_uncertainty_score":0.6828985,"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."}}