{"id":"W6962057593","doi":"10.15468/dl.qhu848","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); Data set; Set (abstract data type)","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":[0.000800487,0.002023788,0.001594328,0.004874034,0.0010961,0.002665269,0.002937971,0.002323846,0.1559899],"category_scores_gemma":[0.005651582,0.0009649359,0.001299061,0.009784939,0.0004520344,0.002490056,0.002614495,0.002087191,0.2166215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864415,"about_ca_system_score_gemma":0.002545934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02682517,"about_ca_topic_score_gemma":0.04622614,"domain_scores_codex":[0.99901,0.0001209877,0.0001310304,0.0003434121,0.0002202857,0.0001743265],"domain_scores_gemma":[0.9978357,0.0005831874,0.0001891227,0.000543271,0.0006075646,0.0002411801],"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":[0.00003035867,0.00001152978,0.0004357299,0.0006315066,0.00001500555,0.00001871144,0.00002651119,0.000136703,0.0001282673,0.000402983,0.9964885,0.001674195],"study_design_scores_gemma":[0.00006979166,0.00000748712,0.001689289,0.0002073595,0.00001322176,0.00004387953,0.0000816827,0.0001634276,0.0001801543,0.0007043228,0.9968216,0.00001769468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004767964,0.00003395258,0.00005025342,0.0000386159,0.00001290548,0.000005487419,0.998618,0.0004441951,0.0007489112],"genre_scores_gemma":[0.0001801645,0.00004006587,0.0002347795,0.00004760186,0.000003396044,0.00004044833,0.9988201,0.0001500931,0.0004832323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440101,"threshold_uncertainty_score":0.5218382,"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."}}