{"id":"W4395743924","doi":"10.15468/dl.9cxf3z","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001021393,0.002099202,0.001715551,0.005528022,0.0009347653,0.002559919,0.003167161,0.002092288,0.1584184],"category_scores_gemma":[0.006041761,0.0009907377,0.001162639,0.01144169,0.0004923437,0.002324192,0.002586969,0.002007238,0.1949581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970272,"about_ca_system_score_gemma":0.002763374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.032414,"about_ca_topic_score_gemma":0.04745128,"domain_scores_codex":[0.9989453,0.0001266741,0.0001419576,0.0003525891,0.0002456056,0.0001879517],"domain_scores_gemma":[0.9975463,0.0006387361,0.0002501668,0.000595793,0.0006377986,0.0003311918],"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":[0.00003335952,0.00001020582,0.0003237695,0.0005629604,0.00001559711,0.00001666719,0.00002207149,0.0001416984,0.0001002848,0.0003893602,0.997165,0.001218952],"study_design_scores_gemma":[0.00009813309,0.000007697536,0.001983184,0.0001891269,0.00001538718,0.0000389923,0.00006783435,0.0001756964,0.0001968157,0.0007464041,0.9964607,0.00001999474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003022709,0.00001988758,0.00003014191,0.00002811806,0.000008275023,0.000004249919,0.9990981,0.0002994412,0.0004816311],"genre_scores_gemma":[0.0001425265,0.00002902882,0.0001412288,0.00003849664,0.00000277957,0.00003341834,0.9991215,0.000123085,0.0003678564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415816,"threshold_uncertainty_score":0.5299624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244567428099237,"score_gpt":0.2158838858445054,"score_spread":0.1934382115635131,"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."}}