{"id":"W4395381625","doi":"10.15468/dl.43wf9n","title":"Occurrence Download","year":2022,"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":[0.000999345,0.001914028,0.001662898,0.004923777,0.0009516743,0.002616118,0.002764463,0.002087525,0.1677159],"category_scores_gemma":[0.005984294,0.0009348571,0.001130912,0.01023468,0.000438175,0.002316069,0.002422868,0.002082689,0.2217891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599503,"about_ca_system_score_gemma":0.002241838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201502,"about_ca_topic_score_gemma":0.0337106,"domain_scores_codex":[0.9989417,0.0001431264,0.0001396028,0.0003704061,0.000233702,0.0001714751],"domain_scores_gemma":[0.9975442,0.0007085847,0.0002382959,0.0006075149,0.0005989815,0.0003022996],"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":[0.00002732782,0.00001080662,0.0003239669,0.0004908291,0.00001329752,0.0000138498,0.00001962222,0.0001200072,0.00009047681,0.0003446514,0.9973782,0.001166841],"study_design_scores_gemma":[0.00008674189,0.000007660294,0.001762474,0.0001829315,0.00001340087,0.00003388142,0.00006583361,0.000156336,0.0001604646,0.0007595067,0.9967541,0.00001667233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003524974,0.00002291779,0.00003734071,0.00003312746,0.00001046236,0.000004847934,0.9990082,0.0002913543,0.0005563539],"genre_scores_gemma":[0.0001488195,0.00003178925,0.0001691255,0.00004466049,0.000003544999,0.00004280768,0.9989792,0.0001325178,0.0004475542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322841,"threshold_uncertainty_score":0.5610657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}