{"id":"W6924508252","doi":"10.15468/dl.nmchfo","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; 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":[0.0009307274,0.001795111,0.001481438,0.004915942,0.0009088213,0.002356846,0.002689488,0.002009215,0.1476025],"category_scores_gemma":[0.006006812,0.0008090821,0.001155656,0.009348133,0.0004297848,0.002290427,0.002507282,0.0019163,0.2043201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457337,"about_ca_system_score_gemma":0.002215185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958605,"about_ca_topic_score_gemma":0.0344816,"domain_scores_codex":[0.9989497,0.000147813,0.0001453947,0.000357192,0.0002277725,0.0001720616],"domain_scores_gemma":[0.9974149,0.0007186939,0.0002438567,0.0006958726,0.0006426765,0.0002839877],"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":[0.00002963666,0.00001127753,0.0003936751,0.0005274266,0.00001480163,0.00001598843,0.00002236585,0.0001201575,0.0001106067,0.0003803457,0.9969452,0.001428482],"study_design_scores_gemma":[0.00006830117,0.000008559353,0.001932807,0.0001910495,0.00001421139,0.00004112919,0.00007098359,0.0001487117,0.0001864817,0.0007875303,0.9965324,0.0000177006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004574138,0.00002868131,0.00004623751,0.00003773562,0.00001286969,0.000005611611,0.998799,0.0003773673,0.0006468542],"genre_scores_gemma":[0.0001716463,0.00003376807,0.0001907819,0.00004743993,0.000003664257,0.00003957413,0.9989238,0.000129154,0.0004600859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523974,"threshold_uncertainty_score":0.4937797,"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."}}