{"id":"W6887276608","doi":"10.15468/dl.vr3tm4","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); Order (exchange); Data set","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":[0.001056251,0.001922129,0.001677418,0.005536123,0.0009858998,0.002574454,0.0028598,0.002036405,0.1556607],"category_scores_gemma":[0.005977984,0.0009198665,0.001153737,0.01105366,0.0004548062,0.002181479,0.002531479,0.001934467,0.2033566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698344,"about_ca_system_score_gemma":0.002579065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315403,"about_ca_topic_score_gemma":0.03681577,"domain_scores_codex":[0.9988766,0.0001445196,0.0001559174,0.0003720829,0.0002615383,0.0001894378],"domain_scores_gemma":[0.9974347,0.0007082786,0.0002582691,0.0006772361,0.0006262034,0.0002953818],"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":[0.00003447812,0.0000122795,0.0004125355,0.0006170908,0.00001787785,0.00001801823,0.00002502134,0.0001372269,0.0001513212,0.0004371159,0.9965841,0.001553055],"study_design_scores_gemma":[0.0000761121,0.00000835639,0.00208916,0.000200297,0.00001684172,0.00004356198,0.00006961218,0.0001416126,0.0002288642,0.0007091946,0.9963977,0.00001860766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000381837,0.00002433125,0.0000374276,0.00002879081,0.000008989744,0.000004750295,0.9990121,0.0003092651,0.0005361463],"genre_scores_gemma":[0.0001442843,0.00002943011,0.0001586006,0.00003506049,0.000002805231,0.0000342521,0.999113,0.0001112625,0.0003712309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443393,"threshold_uncertainty_score":0.520737,"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."}}