{"id":"W4396200468","doi":"10.15468/dl.fkmd8u","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","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":[0.001089388,0.002361025,0.001811073,0.005014332,0.001028061,0.002810756,0.00331241,0.0022674,0.1266122],"category_scores_gemma":[0.005450327,0.0009432719,0.001230372,0.009817884,0.0004998746,0.002308898,0.002583104,0.002240756,0.1954506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189377,"about_ca_system_score_gemma":0.002666391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02553333,"about_ca_topic_score_gemma":0.04004205,"domain_scores_codex":[0.9989208,0.0001433797,0.0001284169,0.0003801065,0.0002545822,0.0001727207],"domain_scores_gemma":[0.9977897,0.0006064095,0.0002031389,0.0005781681,0.0005276258,0.0002948174],"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":[0.00003899523,0.00001464905,0.000408325,0.0005443399,0.00001793349,0.00001915244,0.00002575621,0.0001889476,0.0001406779,0.0004514202,0.9966058,0.001544011],"study_design_scores_gemma":[0.00008704371,0.000008818191,0.001884473,0.0001751772,0.00001534124,0.00004103376,0.00007646358,0.0002639681,0.0002622143,0.0009901057,0.9961746,0.00002079639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004133592,0.00002406568,0.0000455844,0.00003196533,0.00000881994,0.000005030562,0.9988382,0.0004673045,0.0005376565],"genre_scores_gemma":[0.0001325188,0.00002636009,0.0001842757,0.00003190992,0.000002249924,0.00003208314,0.9991074,0.0001276729,0.0003554072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8733878,"threshold_uncertainty_score":0.4235601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425799905313966,"score_gpt":0.2070831381025809,"score_spread":0.1928251390494413,"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."}}