{"id":"W6962028131","doi":"10.15468/dl.kzpfgg","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); 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":[0.001051699,0.002415512,0.002033275,0.005368732,0.001272109,0.003214925,0.003593799,0.002533799,0.1944502],"category_scores_gemma":[0.006931026,0.001189762,0.001356027,0.00992044,0.000496816,0.003051491,0.003082769,0.002452707,0.2945826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002102414,"about_ca_system_score_gemma":0.002658001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056369,"about_ca_topic_score_gemma":0.0314065,"domain_scores_codex":[0.9989491,0.0001264302,0.0001331543,0.0003727243,0.0002365887,0.0001820503],"domain_scores_gemma":[0.9976012,0.0006148627,0.0001902767,0.0006318618,0.0006772206,0.000284478],"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":[0.00003227473,0.00001085256,0.0002802856,0.0005315563,0.00001284083,0.00001485909,0.00001950297,0.00009722951,0.00008683638,0.0003559192,0.9969962,0.001561725],"study_design_scores_gemma":[0.00007315673,0.000006585041,0.001186285,0.0001965869,0.00001181328,0.0000341466,0.00005799936,0.0001561667,0.0001675884,0.0007897732,0.9973037,0.00001616581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002887253,0.00002549555,0.00004713484,0.00003639232,0.00001114113,0.000006414909,0.9985598,0.000534545,0.0007503183],"genre_scores_gemma":[0.0001262175,0.00003746305,0.0002268734,0.00004950635,0.000003317225,0.00005011892,0.9987978,0.0002117695,0.0004969506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8055499,"threshold_uncertainty_score":0.6505005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380214334550222,"score_gpt":0.2227423026410765,"score_spread":0.2089401592955742,"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."}}