{"id":"W6905995420","doi":"10.15468/dl.wleumw","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008990163,0.002116671,0.001640814,0.005211803,0.0009026956,0.002668483,0.002923421,0.001838411,0.149164],"category_scores_gemma":[0.005927483,0.0009185108,0.001189153,0.01091942,0.0004196059,0.002386826,0.002728037,0.001883123,0.2167858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635994,"about_ca_system_score_gemma":0.002591329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431872,"about_ca_topic_score_gemma":0.04165311,"domain_scores_codex":[0.998909,0.0001413075,0.0001462955,0.0003763504,0.0002496595,0.0001773095],"domain_scores_gemma":[0.997638,0.0006040892,0.0002562069,0.0006156138,0.0006047446,0.0002813651],"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":[0.00002921043,0.000009203046,0.0003790814,0.0004921491,0.00001500928,0.00001355541,0.00002095877,0.0001134024,0.00009951231,0.0004074322,0.9970422,0.001378389],"study_design_scores_gemma":[0.00006262326,0.000007209003,0.001651799,0.0001728526,0.0000141643,0.00003569404,0.00005363827,0.0001299143,0.000176198,0.0007815137,0.9968973,0.00001716216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003971547,0.00003068353,0.0000418557,0.00003113931,0.00001114433,0.000004174224,0.9988117,0.0003715047,0.000658037],"genre_scores_gemma":[0.0001432778,0.00003819844,0.0001649718,0.00003946819,0.000003182373,0.00003233513,0.9989241,0.0001415291,0.0005130638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.850836,"threshold_uncertainty_score":0.4990032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}