{"id":"W6962136125","doi":"10.15468/dl.yjtswh","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); 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":[0.0009992255,0.001902166,0.001437659,0.004625951,0.0009426479,0.002320252,0.002746031,0.002061863,0.1335986],"category_scores_gemma":[0.005596067,0.0008586514,0.001163575,0.008642159,0.0004483079,0.002068975,0.002338368,0.002106836,0.1766103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555159,"about_ca_system_score_gemma":0.002156427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122138,"about_ca_topic_score_gemma":0.03742261,"domain_scores_codex":[0.9990065,0.0001489395,0.000129523,0.0003366876,0.0002199469,0.0001583677],"domain_scores_gemma":[0.9975799,0.0007111518,0.0002291273,0.0006231402,0.0005681521,0.0002883712],"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":[0.00002853827,0.00001381705,0.000396181,0.0004626139,0.00001399818,0.00001472441,0.00002389342,0.0001406457,0.0000987953,0.0003600541,0.9971672,0.001279583],"study_design_scores_gemma":[0.00009142216,0.000009161055,0.002139971,0.0001767606,0.00001441386,0.00003942712,0.00008436006,0.0002156018,0.000184544,0.0007810741,0.9962453,0.00001798953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005284384,0.00002386483,0.00004777482,0.00003885054,0.00001263074,0.000005931165,0.9989172,0.0003371376,0.0005638028],"genre_scores_gemma":[0.000169412,0.00002875979,0.0002083656,0.00004151513,0.000003546837,0.00004537219,0.9989632,0.0001208975,0.0004188763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8664014,"threshold_uncertainty_score":0.446932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907593727875466,"score_gpt":0.2255749160022744,"score_spread":0.2064989787235197,"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."}}