{"id":"W6905889547","doi":"10.15468/dl.uh3bbk","title":"Occurrence Download","year":2021,"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); Missing data; Order (exchange)","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":[0.0009766592,0.001968811,0.00162081,0.005302317,0.001008251,0.002686143,0.002861839,0.002100519,0.1584771],"category_scores_gemma":[0.006099975,0.0008919967,0.001162882,0.01050287,0.0004583114,0.00249942,0.002551156,0.001959183,0.2216691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757261,"about_ca_system_score_gemma":0.002473452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459069,"about_ca_topic_score_gemma":0.03913756,"domain_scores_codex":[0.9989096,0.0001408015,0.0001422314,0.0003842417,0.0002380159,0.0001851791],"domain_scores_gemma":[0.9974813,0.0006887771,0.0002432859,0.0006342943,0.0006497375,0.0003026986],"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":[0.00002911248,0.00001071347,0.0003689361,0.000521723,0.00001400578,0.00001420925,0.00002192705,0.0001324373,0.00009994995,0.000382035,0.9970177,0.001387274],"study_design_scores_gemma":[0.00006865399,0.000007691658,0.001756994,0.0001919062,0.00001350772,0.00003465621,0.00007175943,0.0001528035,0.0001646735,0.0007588965,0.9967611,0.00001733949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003758414,0.00002679097,0.00003675579,0.00003504096,0.00001145625,0.00000468399,0.9989175,0.000321144,0.0006091174],"genre_scores_gemma":[0.0001508934,0.00003328732,0.0001658309,0.00004103683,0.00000337774,0.00003407502,0.9990137,0.0001195267,0.0004382934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415229,"threshold_uncertainty_score":0.5301588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}