{"id":"W6943464442","doi":"10.15468/dl.l9fa4v","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; Wildlife; Biodiversity; Natural history; Mammal; Natural (archaeology); Data collection","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":[0.000936488,0.002686711,0.002107459,0.006563817,0.001273875,0.0037275,0.003305763,0.002258145,0.2230599],"category_scores_gemma":[0.00724499,0.001079288,0.00184405,0.01194243,0.0004441593,0.003992945,0.003515886,0.002066349,0.3459255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845303,"about_ca_system_score_gemma":0.002416153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401714,"about_ca_topic_score_gemma":0.03749568,"domain_scores_codex":[0.9986581,0.0001601195,0.0001829034,0.0004995773,0.0002791877,0.000220143],"domain_scores_gemma":[0.9973329,0.0007002949,0.0002170909,0.0007209506,0.000743441,0.0002853473],"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":[0.00003971109,0.00001027527,0.000371752,0.0006202882,0.00001737246,0.00002064917,0.00002615288,0.0001088835,0.0000934736,0.0003375665,0.996064,0.002289915],"study_design_scores_gemma":[0.00005602681,0.00001100486,0.00131484,0.0001947365,0.00001532196,0.00004913016,0.00008759576,0.0002114724,0.0001693437,0.0008136498,0.9970578,0.00001918111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005039417,0.00005043989,0.00007180402,0.00005140482,0.00002052268,0.000007523895,0.9977059,0.001094601,0.0009473983],"genre_scores_gemma":[0.0001780941,0.00005633434,0.0002972051,0.00007042209,0.000005800704,0.0000451517,0.9983108,0.000335503,0.0007007473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7769401,"threshold_uncertainty_score":0.7462097,"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."}}