{"id":"W6924395175","doi":"10.15468/dl.rbgyfc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009243305,0.00208148,0.001613635,0.005019971,0.0009686037,0.002548672,0.002699957,0.001954312,0.1616698],"category_scores_gemma":[0.006061402,0.0009082097,0.001235584,0.009854806,0.0004472792,0.002146553,0.002487762,0.001872204,0.220945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491882,"about_ca_system_score_gemma":0.00227384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103179,"about_ca_topic_score_gemma":0.03397628,"domain_scores_codex":[0.9989828,0.0001368991,0.0001272863,0.0003693509,0.0002135898,0.0001699051],"domain_scores_gemma":[0.9976408,0.0007014063,0.0002301616,0.0005979673,0.0005650822,0.0002646614],"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":[0.0000323117,0.0000114337,0.0004021483,0.0005855304,0.00001567904,0.00001505434,0.00002308046,0.0001395849,0.0001204582,0.0003641371,0.9967848,0.001505774],"study_design_scores_gemma":[0.00007616558,0.00001008896,0.001855685,0.0001976563,0.00001607695,0.00003744704,0.00006784626,0.000160981,0.0001876163,0.0008157928,0.9965559,0.00001873566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004365805,0.00002811872,0.00004215332,0.00003328362,0.00001221729,0.000004908763,0.9988512,0.0003849682,0.0005995447],"genre_scores_gemma":[0.0001633385,0.00003581323,0.0001975294,0.0000461472,0.000003680406,0.00004279441,0.9988696,0.0001585774,0.0004824842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383301,"threshold_uncertainty_score":0.5408395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}