{"id":"W6962296290","doi":"10.15468/dl.vfs5qm","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); Cover (algebra); Confidentiality","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":[0.000688998,0.002862804,0.002093527,0.006367802,0.001140238,0.002853715,0.002234611,0.002531792,0.2359221],"category_scores_gemma":[0.004701428,0.0009127068,0.001957435,0.008480502,0.000363829,0.003038713,0.002933064,0.001952643,0.3077759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226631,"about_ca_system_score_gemma":0.002328018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054513,"about_ca_topic_score_gemma":0.0327299,"domain_scores_codex":[0.9990504,0.0001060953,0.0001441302,0.0003328872,0.0001902794,0.0001761518],"domain_scores_gemma":[0.9979396,0.0005944623,0.0001695708,0.0005109652,0.0004870347,0.000298351],"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":[0.0000708283,0.00002682479,0.0004532659,0.0008058697,0.0000211418,0.00003599282,0.00003092699,0.0002073283,0.0001657609,0.0003952633,0.9937627,0.004024163],"study_design_scores_gemma":[0.0001189954,0.00002140991,0.001989299,0.0002355109,0.00002596932,0.00008347847,0.0001117545,0.0005872906,0.0002731729,0.001325588,0.9951945,0.00003300821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001072211,0.00007651643,0.0001185637,0.00005626031,0.00003516945,0.00001548704,0.9960589,0.00183774,0.001694023],"genre_scores_gemma":[0.0003147827,0.00007968597,0.0006286396,0.00009487884,0.00000984021,0.00006351909,0.9974371,0.0003412986,0.001030218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7640778,"threshold_uncertainty_score":0.7892382,"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."}}