{"id":"W6962578639","doi":"10.15468/dl.zzkkp7","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); Confidentiality; Reference data","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":[0.0008940933,0.002077162,0.001574392,0.004835248,0.001032199,0.002509054,0.002812035,0.00204143,0.149893],"category_scores_gemma":[0.005579344,0.0009162513,0.001229972,0.009442161,0.0004655851,0.002324985,0.002530694,0.002021462,0.2154259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565885,"about_ca_system_score_gemma":0.002207281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243842,"about_ca_topic_score_gemma":0.03764996,"domain_scores_codex":[0.9990773,0.0001288402,0.000115034,0.0003314785,0.0001970417,0.0001503513],"domain_scores_gemma":[0.9978963,0.0006296549,0.0001872669,0.0005392308,0.0005120168,0.000235592],"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":[0.00003060391,0.00001221116,0.0004284526,0.0006328647,0.0000163148,0.00001792158,0.00003128034,0.0001476621,0.0001263563,0.0003670373,0.9965686,0.001620751],"study_design_scores_gemma":[0.00006837033,0.000008264684,0.001887267,0.0002089054,0.0000153283,0.00004136557,0.00009266044,0.0001859312,0.000186731,0.0007406963,0.9965468,0.00001782392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005211816,0.00003211155,0.00005354515,0.00003637622,0.00001325074,0.000005994105,0.9986987,0.0004520041,0.0006558191],"genre_scores_gemma":[0.0001721803,0.00003483806,0.0002251908,0.0000426905,0.00000327887,0.00004799846,0.9988562,0.0001666807,0.0004510054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8501071,"threshold_uncertainty_score":0.5014419,"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."}}