{"id":"W6943440050","doi":"10.15468/dl.qcjzza","title":"Occurrence Download","year":2016,"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","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":[0.001146547,0.00196039,0.001650673,0.005878895,0.0009416488,0.002683676,0.002925387,0.002013843,0.1574596],"category_scores_gemma":[0.00671069,0.0009361967,0.001209634,0.01143933,0.0004616899,0.002424014,0.002975122,0.002063582,0.2181057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606094,"about_ca_system_score_gemma":0.002594369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061992,"about_ca_topic_score_gemma":0.03520092,"domain_scores_codex":[0.9987856,0.0001610199,0.0001658841,0.0004150826,0.0002762644,0.0001962402],"domain_scores_gemma":[0.9971156,0.0007768739,0.0002978932,0.0007738201,0.000692507,0.0003433048],"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":[0.00002992964,0.00001086766,0.0004146258,0.0005903378,0.00001792762,0.00001618357,0.00002622159,0.0001271341,0.0001282378,0.0004256465,0.9967637,0.001449173],"study_design_scores_gemma":[0.00006878854,0.000007942762,0.001944653,0.0002032939,0.00001548778,0.00003897551,0.00007136681,0.0001321301,0.0001930756,0.0007523215,0.996554,0.00001796407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003727097,0.00002441808,0.00004356811,0.00003085514,0.00001076202,0.000004916805,0.9989404,0.0003518388,0.0005559589],"genre_scores_gemma":[0.000138166,0.00003082585,0.0001761373,0.00003700054,0.000003035744,0.00003613246,0.9990682,0.0001343332,0.0003761052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425404,"threshold_uncertainty_score":0.526755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}