{"id":"W6924429118","doi":"10.15468/dl.moicma","title":"Occurrence Download","year":2019,"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); Data set; Set (abstract data type)","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":[0.0009695565,0.001843776,0.00155785,0.005051919,0.0009428324,0.002466173,0.002739514,0.001999013,0.1495899],"category_scores_gemma":[0.005988377,0.0008793327,0.001157444,0.009846406,0.0004396893,0.002258677,0.002503138,0.002003188,0.2065609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585806,"about_ca_system_score_gemma":0.002349084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230299,"about_ca_topic_score_gemma":0.0355184,"domain_scores_codex":[0.9990054,0.0001353008,0.0001286546,0.0003461916,0.0002197098,0.0001648024],"domain_scores_gemma":[0.9974951,0.000723142,0.0002425498,0.0006411083,0.0006059585,0.0002921713],"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":[0.00002884156,0.00001042967,0.0003836747,0.0005554311,0.00001600801,0.00001469998,0.00002495767,0.0001286889,0.0001167655,0.0003986893,0.9969112,0.001410626],"study_design_scores_gemma":[0.0000653695,0.0000076205,0.001802001,0.0001949696,0.00001523014,0.00003489859,0.00006999306,0.0001507524,0.0001851896,0.0007631086,0.9966938,0.00001704296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004087413,0.00002824383,0.00004453378,0.000035709,0.00001201755,0.000004882813,0.9988666,0.0003600651,0.0006071453],"genre_scores_gemma":[0.0001636457,0.00003523149,0.0001938991,0.00004491486,0.000003345509,0.00003960049,0.9989119,0.0001485789,0.00045906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504101,"threshold_uncertainty_score":0.5004281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}