{"id":"W6962344624","doi":"10.15468/dl.sxecf8","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); 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":[0.0009074787,0.002072267,0.001611021,0.00509902,0.0009727877,0.002603522,0.002810017,0.001842694,0.1713947],"category_scores_gemma":[0.005554988,0.0009555976,0.001208256,0.01022771,0.0004242995,0.00236273,0.002641507,0.001875083,0.2400163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460592,"about_ca_system_score_gemma":0.002282068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970586,"about_ca_topic_score_gemma":0.03510207,"domain_scores_codex":[0.9989457,0.000144263,0.0001415192,0.0003762079,0.0002172349,0.000175168],"domain_scores_gemma":[0.9976548,0.0006065479,0.0002248005,0.0006252974,0.0006139228,0.0002746269],"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":[0.00003253185,0.00001045067,0.0003403486,0.0005539798,0.00001483077,0.00001362418,0.00002111283,0.0001103779,0.0001170619,0.0003704153,0.9969324,0.001482764],"study_design_scores_gemma":[0.00006519736,0.000007991755,0.001544299,0.0001620752,0.000013265,0.00003230968,0.00005651242,0.0001153919,0.0001639449,0.0007346759,0.9970875,0.00001691605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003804222,0.00002635806,0.00004076834,0.00002983625,0.00001180425,0.000004844211,0.9988517,0.000338714,0.0006580643],"genre_scores_gemma":[0.0001407589,0.00003534102,0.0001926244,0.00004707642,0.000003647332,0.00003929974,0.9988794,0.0001437497,0.0005181749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8286053,"threshold_uncertainty_score":0.5733725,"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."}}