{"id":"W6887072526","doi":"10.15468/dl.qhyc7v","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); Confidentiality; Data set","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":[0.000888523,0.00187304,0.001528982,0.005267224,0.0009920142,0.002569605,0.002678172,0.002026005,0.1631851],"category_scores_gemma":[0.006116653,0.000906482,0.0011819,0.01017671,0.0004350122,0.002233942,0.002451664,0.001983599,0.2175355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725541,"about_ca_system_score_gemma":0.002413818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0262642,"about_ca_topic_score_gemma":0.04194824,"domain_scores_codex":[0.9990076,0.0001325855,0.0001284168,0.0003443371,0.0002170009,0.0001700681],"domain_scores_gemma":[0.9975667,0.0007388289,0.0002273765,0.0005884085,0.0005965556,0.0002821977],"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":[0.00002664069,0.00001071666,0.0003899124,0.000511996,0.00001382987,0.00001580739,0.00002508805,0.0001190403,0.0001002943,0.0003739459,0.9971212,0.001291599],"study_design_scores_gemma":[0.00007323026,0.000008160685,0.001966071,0.0002120781,0.0000155654,0.00003980503,0.00008731894,0.0001689105,0.0001755149,0.0007871197,0.9964495,0.0000168432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004152511,0.00002674872,0.00003869773,0.00003804861,0.0000112751,0.000005212488,0.9988347,0.0003379141,0.0006659309],"genre_scores_gemma":[0.0001717699,0.00003673696,0.0001840232,0.00004808197,0.000003488255,0.0000417438,0.9988657,0.0001447236,0.0005038094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368149,"threshold_uncertainty_score":0.5459085,"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."}}