{"id":"W6906147793","doi":"10.15468/dl.zdt2bz","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 access; 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":[0.001127184,0.001985285,0.00164374,0.005361725,0.001049846,0.002791002,0.002980007,0.002063515,0.1599351],"category_scores_gemma":[0.006562446,0.0009525624,0.001195822,0.01044519,0.0004671105,0.002442254,0.002647913,0.002071759,0.2297371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648652,"about_ca_system_score_gemma":0.002458055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251049,"about_ca_topic_score_gemma":0.03641396,"domain_scores_codex":[0.9988253,0.0001604227,0.0001540953,0.0004118213,0.0002602862,0.00018812],"domain_scores_gemma":[0.9972615,0.0007908561,0.0002516334,0.0007235127,0.000667903,0.0003045532],"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":[0.00002895469,0.0000104088,0.0003663787,0.0005182964,0.00001517924,0.00001481655,0.00002426999,0.0001154204,0.0001171906,0.000397553,0.9970682,0.00132347],"study_design_scores_gemma":[0.00006606454,0.000007195286,0.001719588,0.0001886984,0.0000144891,0.00003622659,0.00007350441,0.0001404075,0.0001825924,0.0007695417,0.9967842,0.00001738741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003560607,0.000024118,0.00004425179,0.00003262335,0.000010929,0.000004558438,0.9988973,0.0003565246,0.0005940014],"genre_scores_gemma":[0.0001391711,0.00003075625,0.0001791591,0.00003937586,0.000003075837,0.00003621833,0.9990081,0.0001499706,0.0004143073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400649,"threshold_uncertainty_score":0.5350363,"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."}}