{"id":"W6905733593","doi":"10.15468/dl.pvb6j6","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; Task (project management)","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":[0.001022187,0.001882323,0.001534048,0.0049308,0.0009687177,0.002510634,0.002763741,0.002031463,0.154397],"category_scores_gemma":[0.005860291,0.0008851051,0.001186101,0.009733747,0.0004467858,0.002235964,0.002411755,0.001977919,0.2157341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614442,"about_ca_system_score_gemma":0.002356424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374965,"about_ca_topic_score_gemma":0.03897698,"domain_scores_codex":[0.9989795,0.0001409187,0.0001259231,0.0003571299,0.0002284857,0.0001680039],"domain_scores_gemma":[0.9974341,0.0007604707,0.000236808,0.000661282,0.0006280702,0.0002793179],"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":[0.00002649742,0.00001165646,0.0003820464,0.0004902654,0.00001371589,0.000013954,0.00002236675,0.0001181328,0.0001098175,0.0003610009,0.9970978,0.001352807],"study_design_scores_gemma":[0.00006802956,0.000008432543,0.00209245,0.0001852993,0.00001406566,0.00003579914,0.00007497581,0.000140684,0.0001907458,0.0007458166,0.9964258,0.00001786605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004198385,0.00002443563,0.00004202338,0.00003453649,0.00001093226,0.00000490925,0.9988912,0.0003370047,0.0006129933],"genre_scores_gemma":[0.000163456,0.00003065099,0.0001843725,0.00004162555,0.000003352146,0.00004074864,0.9989169,0.0001374601,0.0004814223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845603,"threshold_uncertainty_score":0.5165095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}