{"id":"W6962124658","doi":"10.15468/dl.ywwpzu","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":"Download; Matching (statistics); Range (aeronautics); Data set; Software","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":[0.001119889,0.001986349,0.001654326,0.00513041,0.001047005,0.002760001,0.003000843,0.002118975,0.1699202],"category_scores_gemma":[0.006550628,0.0009939938,0.001156742,0.009848154,0.0004712986,0.002471139,0.002644104,0.002107382,0.2362566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690376,"about_ca_system_score_gemma":0.00247062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223749,"about_ca_topic_score_gemma":0.03580125,"domain_scores_codex":[0.9988492,0.000155694,0.0001511759,0.0004027588,0.0002587298,0.0001823646],"domain_scores_gemma":[0.997321,0.0007762273,0.0002524031,0.0006959962,0.0006502009,0.0003042624],"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":[0.00002565459,0.000009930716,0.000313961,0.000482271,0.00001351852,0.00001349997,0.00002171734,0.0001060523,0.0001039957,0.0003734676,0.9973148,0.001221175],"study_design_scores_gemma":[0.00006704542,0.00000694016,0.001604098,0.0001800049,0.00001345207,0.00003468905,0.00006734301,0.000132059,0.0001756842,0.0007394719,0.996962,0.0000171112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003323362,0.00002354999,0.00004434419,0.00003420088,0.00001107564,0.000004744752,0.9989051,0.0003517354,0.0005920336],"genre_scores_gemma":[0.0001431356,0.00003136825,0.0001867999,0.00004295067,0.000003252875,0.00004008783,0.9989493,0.0001552589,0.0004478438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300798,"threshold_uncertainty_score":0.5684397,"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."}}