{"id":"W6905866614","doi":"10.15468/dl.uh6bgj","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); Confidentiality; Real world data","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":[0.000893035,0.001831799,0.001499726,0.004919361,0.001010431,0.002748415,0.002769086,0.001820767,0.1775279],"category_scores_gemma":[0.006146592,0.0009051036,0.001162107,0.009927421,0.0004182286,0.002610083,0.00258955,0.0020916,0.2554325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156488,"about_ca_system_score_gemma":0.002324783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102249,"about_ca_topic_score_gemma":0.03511256,"domain_scores_codex":[0.9989849,0.0001324013,0.0001256928,0.0003649849,0.0002292218,0.0001628969],"domain_scores_gemma":[0.9976058,0.0006622154,0.0002151419,0.0006407333,0.0006014602,0.0002745707],"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":[0.00002240273,0.000008739674,0.0003104282,0.0004190407,0.0000112013,0.00001212347,0.00001976719,0.00009465468,0.00008141873,0.0003452892,0.997277,0.001398023],"study_design_scores_gemma":[0.00005022069,0.000005922833,0.0014198,0.0001626617,0.00001114153,0.00003097828,0.000065874,0.0001319561,0.0001541222,0.0007297722,0.9972228,0.00001481302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003807391,0.00002682229,0.00004907192,0.0000414369,0.00001406081,0.000005311313,0.998531,0.0004606263,0.0008335843],"genre_scores_gemma":[0.0001526823,0.00003658346,0.0002078723,0.0000477676,0.000003977592,0.00004158321,0.9986834,0.0001897857,0.0006364068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.822472,"threshold_uncertainty_score":0.5938902,"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."}}