{"id":"W6924570485","doi":"10.15468/dl.kgquhj","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Child Development and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Extant taxon; Natural history; Matching (statistics); Natural (archaeology); 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":[0.001130696,0.002084848,0.001779922,0.006037215,0.001033446,0.003003608,0.002853537,0.002034641,0.1936444],"category_scores_gemma":[0.007079083,0.001016118,0.001429297,0.0118993,0.0004481622,0.002572499,0.002715878,0.001946411,0.2599591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664957,"about_ca_system_score_gemma":0.002355075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138518,"about_ca_topic_score_gemma":0.03534865,"domain_scores_codex":[0.9987831,0.0001644571,0.0001776981,0.00043806,0.0002394713,0.0001973682],"domain_scores_gemma":[0.9971725,0.0008374956,0.0002587524,0.0007019538,0.000735348,0.0002939373],"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":[0.00003424686,0.00001043743,0.0004481669,0.0006932057,0.00001791014,0.00001667651,0.00002561205,0.0001233731,0.0000955168,0.0003616898,0.9965177,0.001655364],"study_design_scores_gemma":[0.00008334086,0.000008809053,0.00194302,0.0002262341,0.00001606551,0.00003623065,0.00008483035,0.000144954,0.0001507705,0.0007407144,0.9965479,0.00001710308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003094843,0.00002292482,0.00003538762,0.00002662337,0.00000961756,0.000005210782,0.9990773,0.0002954612,0.0004964541],"genre_scores_gemma":[0.0001330814,0.00003454064,0.0001906807,0.00003982144,0.000003690002,0.00005007229,0.9989511,0.0001463756,0.0004506364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8063556,"threshold_uncertainty_score":0.6478052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178720358668478,"score_gpt":0.2602135127252377,"score_spread":0.2384263091385529,"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."}}