{"id":"W6924768593","doi":"10.15468/dl.nhj39p","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proteaceae; Boot camp; Quercus variabilis","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":[0.0006586905,0.002679365,0.002037372,0.006471594,0.001375803,0.003592276,0.002752637,0.002727353,0.2094458],"category_scores_gemma":[0.005061509,0.0008430467,0.00169462,0.01018408,0.0003772677,0.003967262,0.003447157,0.002051614,0.3373972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909336,"about_ca_system_score_gemma":0.002257598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227849,"about_ca_topic_score_gemma":0.04224965,"domain_scores_codex":[0.9988781,0.00011565,0.0001626223,0.0003867379,0.000252458,0.0002044629],"domain_scores_gemma":[0.9980766,0.0004073035,0.0001640054,0.0004679755,0.0006105513,0.0002735907],"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":[0.00005705028,0.00001708218,0.0004810165,0.0006598425,0.00001467422,0.00003530235,0.00002302807,0.0001106739,0.0001427636,0.0003837352,0.9946484,0.003426412],"study_design_scores_gemma":[0.00006729289,0.00001568885,0.00177922,0.0001979673,0.00001485742,0.000082791,0.00009112406,0.000382066,0.0001867438,0.0009565041,0.9962048,0.00002104387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001146828,0.0001168535,0.0001138735,0.00009746445,0.00003513281,0.00001415136,0.99547,0.001751272,0.002286446],"genre_scores_gemma":[0.0003080161,0.00008421204,0.0003697808,0.00009825528,0.000009828475,0.00003843016,0.9977767,0.0002350375,0.001079725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7905542,"threshold_uncertainty_score":0.7006662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175112981451833,"score_gpt":0.2072404941065829,"score_spread":0.1854893642920646,"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."}}