{"id":"W6943437831","doi":"10.15468/dl.ngmjcp","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); Download; Alien; Range (aeronautics)","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":[0.0009246723,0.002032757,0.001488828,0.004920703,0.0009736272,0.002440362,0.002580504,0.001964158,0.154297],"category_scores_gemma":[0.005824969,0.0008654609,0.001202956,0.009767254,0.0004401346,0.002096247,0.002469434,0.001766166,0.2128624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440132,"about_ca_system_score_gemma":0.002266565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050507,"about_ca_topic_score_gemma":0.0332266,"domain_scores_codex":[0.9989919,0.000139394,0.000128579,0.0003587382,0.0002104994,0.000170801],"domain_scores_gemma":[0.9976957,0.0006625862,0.0002204323,0.000577932,0.0005899569,0.0002534524],"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":[0.00003469764,0.0000127854,0.0004368048,0.0005702304,0.00001481773,0.00001601592,0.00002272978,0.0001384672,0.0001376075,0.0003688104,0.9966753,0.001571808],"study_design_scores_gemma":[0.00007834773,0.00001121014,0.001956843,0.0001908144,0.00001553504,0.00003764909,0.00007134268,0.0001661501,0.000211549,0.0008168814,0.9964243,0.00001938684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004979827,0.00002787607,0.00004105422,0.00003429273,0.00001254073,0.000005431406,0.9988139,0.000376635,0.0006384895],"genre_scores_gemma":[0.0001721252,0.00003416533,0.0001957057,0.00004620119,0.000003767529,0.00004391269,0.998899,0.0001398803,0.000465267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845703,"threshold_uncertainty_score":0.516175,"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."}}