{"id":"W6887325036","doi":"10.15468/dl.xvu7v5","title":"Occurrence Download","year":2022,"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":[0.0009790591,0.002055799,0.00169854,0.005467159,0.0009335206,0.002612856,0.00274829,0.002074313,0.1598395],"category_scores_gemma":[0.005650931,0.0009246697,0.001189308,0.01040084,0.0004611445,0.002223429,0.00271253,0.001914923,0.2228356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450718,"about_ca_system_score_gemma":0.002229631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186772,"about_ca_topic_score_gemma":0.02998381,"domain_scores_codex":[0.9989545,0.0001361069,0.0001394992,0.0003550285,0.0002379903,0.0001769471],"domain_scores_gemma":[0.9976624,0.000637845,0.00023454,0.0006184671,0.0005621543,0.0002845126],"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":[0.00003378734,0.00001203275,0.0003689614,0.0006634594,0.00001813966,0.00001698553,0.00002430834,0.0001240751,0.000162471,0.000368194,0.996721,0.001486676],"study_design_scores_gemma":[0.00008213518,0.000009492988,0.001976106,0.00021267,0.00001711711,0.00004308802,0.00006936127,0.0001320378,0.0002212263,0.0006839796,0.9965342,0.00001851779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004223624,0.00003065868,0.00003933755,0.00003091101,0.00001112318,0.000005032838,0.9989072,0.0003597339,0.0005738853],"genre_scores_gemma":[0.0001537173,0.00003523595,0.0001622558,0.00004151409,0.0000033592,0.00003721441,0.9990429,0.0001355306,0.0003882689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8401605,"threshold_uncertainty_score":0.5347165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}